Notes

  • This notebook has implementations of Backprop with binary spike feature vectors obtained from the SPIKEFLOW. Here, we will use tf.data API. Here the shape of the inputs is [None, n_input] instead of [n_input, None]. We had to do this because nested elements in from_tensor_slices must have the same dimension in 0th rank see. Everytime an iterator iter = dataset.make_initializable_iterator() gets initialized, the dataset is randomly shuffled so we need not shuffle again, see. We also use z_3 = tf.floor(z_3). Surrogate gradients with one step is used. (one sided)

  • Here, error in the hidden layer, $\delta^{2}$ is implemented as: $ \delta^{2} = W^{3T}\delta^{(3)}\odot\sigma^{'}(z^{(2)}) \tag{1}$

  • $\sigma^{'}(z^{(2)})$ is approximated with a surrogate. (See section 6)
  • It also takes care of catastrophic forgetting by using synaptic intelligence.
  • He initialization without AR1 gives lesser final accuracy than Trunc init because in He the gradients don't suffer from dimnishing. ### References
  • Neural Nets
  • Randombackprop
  • Randombackprop
  • Backprop
  • Initializers
  • Dropout
  • Softmax
  • SoftmaxLogits
  • TF memory leaks when assigning in loop
In [1]:
import os, time
#os.environ["CUDA_VISIBLE_DEVICES"]="-1"
import matplotlib.pyplot as plt
import matplotlib as mpl
import tensorflow as tf
from IPython.display import display, HTML
tf.compat.v2.random.set_seed(0)
from tensorflow.examples.tutorials.mnist import input_data
from tensorflow.python.client import timeline
import h5py, pickle
from keras.utils.np_utils import to_categorical 
import numpy as np
import pandas as pd
import DATA_Loader
import seaborn as sb
import theano, random, sys, time
/usr/local/lib/python2.7/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
Using TensorFlow backend.
In [2]:
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
print(tf.__version__)
tf
1.14.0
Out[2]:
<module 'tensorflow' from '/home/ruthvik/.local/lib/python2.7/site-packages/tensorflow/__init__.pyc'>

Hide code

In [3]:
HTML('''<script>
code_show=true; 
function code_toggle() {
if (code_show){
$('div.input').hide();
} else {
$('div.input').show();
}
code_show = !code_show
} 
$( document ).ready(code_toggle);
</script>
<form action="javascript:code_toggle()"><input type="submit" value="Click here to toggle on/off the raw code."></form>''')
Out[3]:

Plots

  • FOR PRETTY IEEE PLOTS mpl.rcParams['figure.figsize'] = 4.5,2.5, all fonts 9-12

Large

In [3]:
mpl.rcParams['figure.figsize'] = 15,10
mpl.rcParams['axes.titlesize'] = 24
mpl.rcParams['axes.labelsize'] = 25
mpl.rcParams['lines.linewidth'] = 2
mpl.rcParams['lines.markersize'] = 10
mpl.rcParams['xtick.labelsize'] = 30
mpl.rcParams['ytick.labelsize'] = 22
mpl.rcParams['legend.fontsize'] = 25
mpl.rcParams['font.size'] = 22

Small

In [4]:
plt.style.use('ggplot')
mpl.rcParams['figure.figsize'] = 3.75,3
mpl.rcParams['axes.titlesize'] = 12
mpl.rcParams['axes.labelsize'] = 12
mpl.rcParams['lines.linewidth'] = 2
mpl.rcParams['lines.markersize'] = 10
mpl.rcParams['xtick.labelsize'] = 12
mpl.rcParams['ytick.labelsize'] = 12
mpl.rcParams['legend.fontsize'] = 12
mpl.rcParams['font.size'] = 12

Load the data

In [5]:
filename = '../../spiking_networks/train_pool1_spike_features_inh_False_conv1maps_30.h5'
with h5py.File(filename, 'r') as hf:
    emnist_train_images = hf['pool1_spike_features'][:].astype(np.int8)
emnist_train_images[np.where(emnist_train_images>=1)] = 1

filehandle = open('../../spiking_networks/train_y.pkl','rb')
emnist_train_labels = pickle.load(filehandle).astype(np.int).tolist()
filehandle.close()
emnist_train_labels = np.array(emnist_train_labels)
print('Total train features:{}'.format(emnist_train_images.shape[0]))

#### LOAD TEST IMAGES AND LABELS
filename = '../../spiking_networks/test_pool1_spike_features_inh_False_conv1maps_30.h5'
with h5py.File(filename, 'r') as hf:
    emnist_test_images = hf['pool1_spike_features'][:].astype(np.int8)
emnist_test_images[np.where(emnist_test_images>=1)] = 1
print('Total test features:{}'.format(emnist_test_images.shape[0]))

filehandle = open('../../spiking_networks/test_y.pkl','rb')
emnist_test_labels = pickle.load(filehandle).astype(np.int)
filehandle.close()
emnist_test_labels = np.array(emnist_test_labels)

#### LOAD TRAIN AND VALIDATION DATA AND LABELS
train_images = emnist_train_images
train_labels = emnist_train_labels
train_labels = np.array(train_labels)
test_images = emnist_test_images
test_labels = emnist_test_labels
num_classes=10
Total train features:60000
Total test features:10000
In [6]:
labels_map = {0:'0',1:'1',2:'2',3:'3',4:'4',5:'5',6:'6',7:'7',8:'8',9:'9',10:'A',11:'B',12:'C',13:'D',14:'E',15:'F',
              16:'G',17:'H',18:'I',19:'J',20:'K',21:'L',22:'M',23:'N',24:'O',25:'P',26:'Q',27:'R',28:'S',29:'T',30:'U',
             31:'V',32:'W',33:'X',34:'Y',35:'Z',36:'a',37:'b',38:'d',39:'e',40:'f',41:'g',42:'h',43:'n',44:'q',45:'r',
             46:'t'}
In [7]:
BATCH_SIZE = 10
#### EXTRACT REQUIRED LOCATIONS OF 0 TO 5 FOR TRAIN DATA
def extract_class_data(start=0, stop=1):
    set1_locs = np.where((train_labels>=start) & (train_labels<=stop))[0]
    train_labels_set1 = to_categorical(train_labels[set1_locs], num_classes=num_classes)
    train_images_set1 = train_images[set1_locs,:]
    n_images = len(train_images_set1)

    #### EXTRACT REQUIRED LOCATIONS OF 0 TO 5 FOR TEST DATA
    set1_locs = np.where((test_labels>=start) & (test_labels<=stop))[0]
    test_labels_set1 = to_categorical(test_labels[set1_locs], num_classes=num_classes)
    test_images_set1 = test_images[set1_locs,:]
    print('Test features:{}'.format(test_images_set1.shape))
    print('Length of test labels:{}'.format(test_labels_set1.shape[0]))
    test_data_set1 = (test_images_set1, test_labels_set1)
    


    train_images_set1 = train_images_set1[int(0.09*n_images):]
    train_labels_set1 = train_labels_set1[int(0.09*n_images):]
    print('Train features:{}'.format(train_images_set1.shape))
    print('Length of train labels:{}'.format(train_labels_set1.shape[0]))
    train_data_set1 = (train_images_set1, train_labels_set1)

    valid_labels_set1 = train_labels_set1[0:int(0.09*n_images)]
    valid_images_set1 = train_images_set1[0:int(0.09*n_images)]
    print('Valid features:{}'.format(valid_images_set1.shape))
    print('Length of valid labels:{}'.format(valid_labels_set1.shape[0]))
    valid_data_set1 = (valid_images_set1, valid_labels_set1)
    
    n_train_set1 = train_labels_set1.shape[0]
    n_test_set1 = test_labels_set1.shape[0]
    n_valid_set1 = valid_labels_set1.shape[0]

    return train_data_set1, valid_data_set1, test_data_set1

Start a session

In [8]:
tf.reset_default_graph()
config = tf.ConfigProto()
config.gpu_options.allow_growth=True
sess= tf.InteractiveSession(config=config)
run_options = tf.RunOptions(trace_level=tf.RunOptions.FULL_TRACE)
run_metadata = tf.RunMetadata()

$tanh(x) = \frac{(e^{x} – e^{-x})}{(e^{x} + e^{-x})}$

$d\frac{tanh(x)}{dx} = 1 – (tanh(x))^{2}$

$\sigma(x) = \frac{1.0}{1 + e^{-x}}$

$d\frac{\sigma(x)}{dx} = \sigma(x)*(1 - \sigma(x))$

Setup the network graph

In [9]:
n_input = 3630
n_middle = 1024
n_out = 10
batch_size = tf.placeholder(tf.int64, name='batch_size') 
a_1 = tf.placeholder(tf.float32, [None, n_input], name = 'Input_batch')
y = tf.placeholder(tf.float32, [None, n_out], name = 'output_batch')
dataset = tf.data.Dataset.from_tensor_slices((a_1, y))
#dataset = dataset.shuffle(buffer_size=len(all_train_labels), reshuffle_each_iteration=True)
dataset = dataset.batch(batch_size)
iter = dataset.make_initializable_iterator()
features, labels = iter.get_next()

drop_out = tf.placeholder(tf.float32)
tau = tf.placeholder(tf.float32)
set1_mask = tf.placeholder(tf.float32, [10], name='mask')
eta = tf.placeholder(tf.float32)
n_tot = tf.placeholder(tf.float32)
lmbda = tf.placeholder(tf.float32, name='lambda')
with tf.name_scope('hid_lyr_w_b'):  ###havier or glorot initialization
    low = -4*tf.math.sqrt(6.0/(n_input + n_middle)) # use 4 for sigmoid, 1 for tanh activation 
    high = 4*tf.math.sqrt(6.0/(n_input + n_middle))
    
    low = -tf.math.sqrt(2.0/(n_input)) # use 4 for sigmoid, 1 for tanh activation 
    high = tf.math.sqrt(2.0/(n_input))
    
    w_2 = tf.Variable(tf.random_uniform(shape=[n_input,n_middle],minval=low,maxval=high), name = 'W_2')
    #w_2 = tf.Variable(tf.truncated_normal(shape=[n_input,n_middle], stddev=0.01),name = 'W_2')
    w_2_update_placeholder = tf.placeholder(w_2.dtype, shape=w_2.get_shape(),name='update_w2')
    w_2_update_op = w_2.assign(w_2_update_placeholder)
    tf.summary.histogram('w_2', w_2)
    
    b_2 = tf.Variable(tf.zeros([1,n_middle]), name = 'b_2')
    b_2_update_placeholder = tf.placeholder(b_2.dtype, shape=b_2.get_shape(),name='update_b2')
    b_2_update_op = b_2.assign(b_2_update_placeholder)
    tf.summary.histogram('b_2', b_2)
    
    
    w2_grad_accum = tf.Variable(np.zeros(shape=[n_input,n_middle], dtype=np.float32),name='w2_grad_accum')
    w2_grad_accum_update_placeholder=tf.placeholder(w2_grad_accum.dtype, shape=w2_grad_accum.get_shape(),
                                            name='update_w2_grad_accum')
    w2_grad_accum_update_op = w2_grad_accum.assign(w2_grad_accum_update_placeholder)
    
    
    b2_grad_accum = tf.Variable(np.zeros(shape=[1,n_middle], dtype=np.float32), name='b2_grad_accum')
    b2_grad_accum_update_placeholder=tf.placeholder(b2_grad_accum.dtype,shape=b2_grad_accum.get_shape(),
                                            name='update_b2_grad_accum')
    b2_grad_accum_update_op = b2_grad_accum.assign(b2_grad_accum_update_placeholder)
    
    
    big_omeg_w2 = tf.Variable(np.zeros(shape=[n_input,n_middle], dtype=np.float32), name='omeg_w2')
    tf.summary.histogram('big_omeg_w2', big_omeg_w2)
    big_omeg_w2_update_placeholder = tf.placeholder(big_omeg_w2.dtype, shape=big_omeg_w2.get_shape(),
                                                    name='update_big_omeg_w2')
    big_omeg_w2_update_op = big_omeg_w2.assign(big_omeg_w2_update_placeholder)
    
    
    big_omeg_b2 = tf.Variable(np.zeros(shape=[1,n_middle], dtype=np.float32), name='omeg_b2')
    tf.summary.histogram('big_omeg_b2', big_omeg_b2)
    big_omeg_b2_update_placeholder = tf.placeholder(big_omeg_b2.dtype, shape=big_omeg_b2.get_shape(),
                                                    name='update_big_omeg_b2')
    big_omeg_b2_update_op = big_omeg_b2.assign(big_omeg_b2_update_placeholder)
    
    
    star_w2 = tf.Variable(np.zeros(shape=[n_input,n_middle], dtype=np.float32), name='star_w2')
    star_w2_update_placeholder = tf.placeholder(star_w2.dtype, shape=star_w2.get_shape(),
                                                name='update_star_w2')
    star_w2_update_op = star_w2.assign(star_w2_update_placeholder)
    
    
    star_b2 = tf.Variable(np.zeros(shape=[1,n_middle], dtype=np.float32), name='star_b2')
    star_b2_update_placeholder = tf.placeholder(star_b2.dtype, shape=star_b2.get_shape(),
                                                name='update_star_b2')
    star_b2_update_op = star_b2.assign(star_b2_update_placeholder)
with tf.name_scope('op_lyr_w_b'):
    
    low = -tf.math.sqrt(2.0/(n_middle))
    high = tf.math.sqrt(2.0/(n_middle))
    #w_3 = tf.Variable(tf.random_uniform(shape=[n_middle,10],minval=low,maxval=high), name = 'W_3')
    #w_3 = tf.Variable(tf.truncated_normal(shape=[n_middle,n_out], stddev=0.01),name = 'W_3')
    w_3 = tf.Variable(np.zeros(shape=[n_middle,n_out], dtype=np.float32),name = 'W_3')
    tf.summary.histogram('w_3', w_3)
    w_3_update_placeholder = tf.placeholder(w_3.dtype, shape=w_3.get_shape(),name='update_w3')
    w_3_update_op = w_3.assign(w_3_update_placeholder)
    
    b_3 = tf.Variable(tf.zeros([1,n_out]), name = 'b_3')
    tf.summary.histogram('b_3', b_3)
    b_3_update_placeholder = tf.placeholder(b_3.dtype, shape=b_3.get_shape(),name='update_b3')
    b_3_update_op = b_3.assign(b_3_update_placeholder)
    
    w3_grad_accum = tf.Variable(np.zeros(shape=[n_middle,n_out], dtype=np.float32), name='w3_grad_accum')
    b3_grad_accum = tf.Variable(np.zeros(shape=[1,n_out], dtype=np.float32), name='b3_grad_accum')
    
    big_omeg_w3 = tf.Variable(np.zeros(shape=[n_middle,n_out], dtype=np.float32), name='omeg_w3')
    tf.summary.histogram('big_omeg_w3', big_omeg_w3)
    big_omeg_b3 = tf.Variable(np.zeros(shape=[1,n_out], dtype=np.float32), name='omeg_b3')
    tf.summary.histogram('big_omeg_b3', big_omeg_b3)
    
    star_w3 = tf.Variable(np.zeros(shape=[n_middle,n_out], dtype=np.float32), name='star_w3')
    star_b3 = tf.Variable(np.zeros(shape=[1,n_out], dtype=np.float32), name='star_b3')

def sigma(x):
    return tf.math.divide(tf.constant(1.0),
                  tf.add(tf.constant(1.0), tf.exp(tf.negative(x))))
def tanh(x):
    return tf.math.divide(tf.subtract(tf.exp(x), tf.exp(tf.negative(x))), 
                          tf.add(tf.exp(x), tf.exp(tf.negative(x))) )

def sigmaprime(x):
    return tf.multiply(sigma(x), tf.subtract(tf.constant(1.0), sigma(x)))

def tanhprime(x):
    return tf.subtract(tf.constant(1.0),tf.square(tanh(x)))

def spkNeuron(x):
    return tf.where(tf.greater_equal(x,0.0), tf.ones_like(x), 
                        tf.zeros_like(x))

def ReLU(x):
    return tf.maximum(0.0, x)

def ReLUprime(x):
    return tf.where(tf.greater_equal(x,0.0), tf.ones_like(x), 
                        tf.zeros_like(x))

def spkPrime1(x):
    l1_bound_higher = tf.greater_equal(x,-0/4)
    r1_bound_lesser = tf.less_equal(x,tau/4) 
    grad_one = tf.where(tf.logical_and(l1_bound_higher,r1_bound_lesser), tf.ones_like(x), tf.zeros_like(x))
    return grad_one

def firstLyrSpks(x):
    return tf.where(tf.greater_equal(x,1.0), tf.ones_like(x), 
                        tf.zeros_like(x))

    
with tf.name_scope('hid_lyr_acti'):
    z_2 = tf.add(tf.matmul(features,w_2,name = 'w_2xa_1'), b_2, name = 'z_2')
    locs_to_drop = tf.random.categorical(tf.math.log([[1.0-drop_out, drop_out]]), tf.size(z_2))
    locs_to_drop = tf.reshape(locs_to_drop, tf.shape(z_2))
    z_2 = tf.where(locs_to_drop>0,-tf.ones_like(z_2),z_2, 'drop_out_app')
    tf.summary.histogram('z_2', z_2)
    a_2 = ReLU(z_2)
    #@@a_2 = spkNeuron(z_2)
    tf.summary.histogram('a_2', a_2)
with tf.name_scope('op_lyr_acti'):
    z_3 = tf.add(tf.matmul(a_2,w_3, name = 'w_3xa_2'),b_3, name = 'z_3')
    z_3 = tf.floor(z_3)
    #z_3 = tf.subtract(tf.reduce_max(z_3),z_3, name = 'inhibition')
    tf.summary.histogram('z_3', z_3)
    a_3 = tf.cast(tf.nn.softmax(z_3,axis=1), tf.float32)
    a_3 = tf.multiply(a_3, set1_mask, name='masking')
    tf.summary.histogram('a_3', a_3)
    ##COMMENT THE ABOVE LINE AND UNCOMMENT BELOW LINE IF YOU WANT SOFTMAX
    #a_3 = tf.nn.softmax(z_3,axis=1) ##AXIS IS VERY IMPORTANT!!! axis=1 INDICATES THE CLASSES AS y IS [None,10]

#cost = tf.reduce_mean(-tf.reduce_sum((y*tf.log(a_3) +tf.log(1-a_3)*(1-y)) ,axis=0), name = 'cost_calc') WORKS, USE BELOW
with tf.name_scope('cost_calc'):
    cost = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits_v2(labels=labels,logits=z_3,axis=1),
                          name = 'cost_calc')#WORKS
        ##COMMENT BELOW LINES IF YOU WANT quadratic
    #@dc_da = tf.multiply(-tf.subtract(labels,a_3, name = 'y_minus_a_3'), mask)
    #@cost = tf.reduce_mean(tf.reduce_sum((1/2.0)*tf.square(dc_da),axis=1), name = 'cost_calc')
    tf.summary.scalar('cost', cost)

with tf.name_scope('op_lyr_grad'):
    #@d_z_3 = tf.multiply(-tf.subtract(labels,a_3, name = 'delta3'), mask, name='masking')
    d_z_3 = -tf.subtract(labels,a_3, name = 'delta3')
    #d_z_3 = tf.multiply(dc_da,a_3, name = 'delta3')
    d_b_3 = tf.expand_dims(tf.reduce_mean(d_z_3, axis=[0]), axis=0)
    tf.summary.histogram('d_b_3', d_b_3)
    d_w_3 = tf.multiply(1/tf.cast(batch_size, tf.float32),
                        tf.matmul(tf.transpose(a_2),d_z_3), 
                        name='delta_w3')
    tf.summary.histogram('d_w_3', d_w_3)
    
with tf.name_scope('hid_lyr_grad'):
    d_z_2 = tf.multiply(tf.matmul(d_z_3,tf.transpose(w_3), name = 'w_3Txdelta3'), ReLUprime(z_2),
                        name = 'delta2')
    #@@d_z_2 = tf.multiply(tf.matmul(d_z_3,tf.transpose(w_3), name = 'w_3Txdelta3'), spkPrime1(z_2),
    #@@                    name = 'delta2')
    #d_z_2 = tf.matmul(d_z_3,tf.transpose(w_3), name = 'delta2')
    d_b_2 = tf.expand_dims(tf.reduce_mean(d_z_2, axis=[0]), axis=0)
    tf.summary.histogram('d_b_2', d_b_2)
    d_w_2 = tf.multiply(1/tf.cast(batch_size, tf.float32),
                        tf.matmul(tf.transpose(features),d_z_2), 
                        name='delta_w2')
    tf.summary.histogram('d_w_2', d_w_2)
    
omega_step=[tf.assign(w2_grad_accum,
                      tf.add(w2_grad_accum,tf.multiply(eta*eta*lmbda/n_tot, tf.square(d_w_2))),
                     name='update_omeg_w2'),
            tf.assign(b2_grad_accum,
                      tf.add(b2_grad_accum,tf.multiply(eta*eta*lmbda/n_tot,tf.square(d_b_2))),
                     name='update_omeg_b2')
]

step = [tf.assign(w_2,
                  tf.subtract(w_2, (eta*d_w_2+big_omeg_w2*(w_2-star_w2))),name='update_w_2'),
        tf.assign(b_2,
                  tf.subtract(b_2,(eta*d_b_2+big_omeg_b2*(b_2-star_b2))),name='update_b_2'),
        
        tf.assign(w_3,
                  tf.subtract(w_3, (eta*d_w_3+big_omeg_w3*(w_3-star_w3))),name='update_w_3'),
        tf.assign(b_3,
                  tf.subtract(b_3,(eta*d_b_3+big_omeg_b3*(b_3-star_b3))),name='update_b_3')    
]
with tf.name_scope('acc_calc'):
    predictions = tf.argmax(a_3, 1)
    acct_mat = tf.equal(tf.argmax(a_3, 1), tf.argmax(labels, 1))
    acct_res = tf.reduce_mean(tf.cast(acct_mat, tf.float32))
    tf.summary.scalar('accuracy', acct_res)

init_op = tf.global_variables_initializer()

Init the writer with $\lambda$s (0, 6.75)e4

In [10]:
path = '/home/ruthvik/Desktop/Summer 2017/tf_graph_outputs/mnist/continual_learning/original_mnist_5sets'
merged = tf.summary.merge_all()
train_writer = tf.summary.FileWriter(path + '/spike_sh_16lmbdas_ar1_3lyrs_he1', sess.graph)

Generate $\lambda$s

In [11]:
np.random.seed(100)
n_lmbdas = 15
a = np.random.uniform(low=0.0, high=6.75, size=(n_lmbdas,))
print(a)
print()
a = a*1.0e4
a = a[np.argsort(a)]
print(a)
print()
n_reps = 5
a = ([0]+a.tolist())*n_reps
n_lmbdas+=1
print(a, len(a))
[3.66798336 1.87899335 2.86549374 5.70223889 0.03185228 0.82059157
 4.52755632 5.5745061  0.92276948 3.88187997 6.01642319 1.41211432
 1.25096548 0.73154401 1.48295808]
()
[  318.52279289  7315.44010634  8205.91565286  9227.69480373
 12509.65481963 14121.14324291 14829.58075219 18789.93349383
 28654.93737557 36679.83357089 38818.79973634 45275.56321906
 55745.06096959 57022.38893159 60164.23191608]
()
([0, 318.52279289064813, 7315.4401063372225, 8205.915652860209, 9227.694803734325, 12509.654819630066, 14121.143242910297, 14829.58075218697, 18789.933493831242, 28654.937375566486, 36679.833570890165, 38818.79973633937, 45275.563219057556, 55745.06096959071, 57022.388931593494, 60164.23191607782, 0, 318.52279289064813, 7315.4401063372225, 8205.915652860209, 9227.694803734325, 12509.654819630066, 14121.143242910297, 14829.58075218697, 18789.933493831242, 28654.937375566486, 36679.833570890165, 38818.79973633937, 45275.563219057556, 55745.06096959071, 57022.388931593494, 60164.23191607782, 0, 318.52279289064813, 7315.4401063372225, 8205.915652860209, 9227.694803734325, 12509.654819630066, 14121.143242910297, 14829.58075218697, 18789.933493831242, 28654.937375566486, 36679.833570890165, 38818.79973633937, 45275.563219057556, 55745.06096959071, 57022.388931593494, 60164.23191607782, 0, 318.52279289064813, 7315.4401063372225, 8205.915652860209, 9227.694803734325, 12509.654819630066, 14121.143242910297, 14829.58075218697, 18789.933493831242, 28654.937375566486, 36679.833570890165, 38818.79973633937, 45275.563219057556, 55745.06096959071, 57022.388931593494, 60164.23191607782, 0, 318.52279289064813, 7315.4401063372225, 8205.915652860209, 9227.694803734325, 12509.654819630066, 14121.143242910297, 14829.58075218697, 18789.933493831242, 28654.937375566486, 36679.833570890165, 38818.79973633937, 45275.563219057556, 55745.06096959071, 57022.388931593494, 60164.23191607782], 80)

Generate random weights

In [12]:
lmbdas = a
np.random.seed(0)
np_weights = []
low = -np.sqrt(2.0/(n_input)) # use 4 for sigmoid, 1 for tanh activation 
high = np.sqrt(2.0/(n_input))
for i in range(n_reps):
    np_weights.append(np.random.uniform(low=low,high=high,size=(n_input,n_middle)))

np_weights=[item for item in np_weights for i in range(n_lmbdas)]
print(len(np_weights), len(lmbdas))
(80, 80)
In [13]:
np.array_equal(np_weights[0], np_weights[15])
Out[13]:
True
In [14]:
np.array_equal(np_weights[0], np_weights[16])
Out[14]:
False

Commence training

In [15]:
method3_test_accs = []
#INITIALIZE THE NETWORK
logging_count = 0
sess.run(init_op,options=run_options, run_metadata=run_metadata)
sess.graph.finalize()
for l in range(len(lmbdas)):
    print('Training with lmbda:{}, {}'.format(lmbdas[l], l))
    #sess.run(init_op,options=run_options, run_metadata=run_metadata)
    zeta = 1e-3
    new_big_omeg_w2 = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    new_big_omeg_b2 = np.zeros(shape=[1,n_middle], dtype=np.float32)
    w3_zeros = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    b3_zeros = np.zeros(shape=[1,n_out], dtype=np.float32)
    w3_accum = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    w3_accum = []
    b3_accum = np.zeros(shape=[1,n_out], dtype=np.float32)
    b3_accum = []
    reset_w2_grad_accum = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    reset_b2_grad_accum = np.zeros(shape=[1,n_middle], dtype=np.float32)

    start_w2 = None
    start_b2 = None
    sess.run(w_2_update_op, {w_2_update_placeholder:np_weights[l]})
    sess.run(b_2_update_op, {b_2_update_placeholder:np.zeros(shape=[1,n_middle],dtype=np.float32)})
    end_w2 = None
    end_b2 = None

    old_test_data = []
    historical_cross_test_acc = {}
    historical_train_accuracies = {}
    historical_train_costs = {}
    historical_val_accuracies = {}
    historical_val_costs = {}
    sets = [(0,1), (2,3), (4,5), (6,7), (8,9)]
    #sets = [(0,4),(5,9)]
    test_labels_set = []
    
    n_test_samples = []
    for a_set in range(len(sets)):
        current_set = sets[a_set]
        current_set_name = 'set'+str(a_set)
        mask_val = [0]*num_classes
        for i in range(0, current_set[1]+1):
            mask_val[i]=1
        set_mask_val = np.array(mask_val, dtype=np.float32)
        print('Current mask:{}'.format(set_mask_val))
        train_data_set, valid_data_set, test_data_set = extract_class_data(start=current_set[0],
                                                                      stop=current_set[1])
        train_images_set, train_labels_set = train_data_set[0], train_data_set[1]
        valid_images_set, valid_labels_set = valid_data_set[0], valid_data_set[1]
        test_images_set, test_labels_set = test_data_set[0], test_data_set[1]
        n_test_samples.append(len(test_labels_set))
        train_total = len(train_images_set)
        n_batches = len(train_images_set)/BATCH_SIZE
        #@@print('Number of batches:{}'.format(n_batches))


        #@@set_omegas = [tf.assign(big_omeg_w2, new_big_omeg_w2), tf.assign(big_omeg_b2, new_big_omeg_b2)]
        #@@sess.run(set_omegas)
        
        sess.run(big_omeg_w2_update_op, {big_omeg_w2_update_placeholder:new_big_omeg_w2})
        sess.run(big_omeg_b2_update_op, {big_omeg_b2_update_placeholder:new_big_omeg_b2})

        #@@reset_grad_accums = [tf.assign(w2_grad_accum, reset_w2_grad_accum),
        #@@                     tf.assign(b2_grad_accum, reset_b2_grad_accum)]
        #@@sess.run(reset_grad_accums)
        
        sess.run(w2_grad_accum_update_op, {w2_grad_accum_update_placeholder:reset_w2_grad_accum})
        sess.run(b2_grad_accum_update_op, {b2_grad_accum_update_placeholder:reset_b2_grad_accum})

        
        #@@reset_w3 = [tf.assign(w_3, w3_zeros), tf.assign(b_3, b3_zeros)]
        #@@sess.run(reset_w3)
        sess.run(w_3_update_op, {w_3_update_placeholder:w3_zeros})
        sess.run(b_3_update_op, {b_3_update_placeholder:b3_zeros})
    
        epochs = 10
        repeats = 1

        for repeat in range(repeats):
            #tf.set_random_seed(l)
            print('Repeat:{}'.format(repeat))
            train_accuracies = []
            train_costs = []
            val_accuracies = []
            val_costs = []
            best_val = 0
            first_params_set = None
            last_params_set = None
            T1 = time.time()
            for i in range(epochs):
                if(i==0):
                    start_w2, start_b2 = w_2.eval(), b_2.eval()
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: len(train_images_set)})
                #@@print('Epoch:{}'.format((i)))
                t1 = time.time()

                ### CALCULATE TRAIN COSTS AND TRAIN ACCURACIES
                train_cost, train_accuracy = sess.run([cost, acct_res] ,feed_dict = {drop_out : 0.0, 
                                                                                     set1_mask:set_mask_val})
                train_costs.append(train_cost)
                train_accuracies.append(train_accuracy)
                #train_writer.add_summary(summary,logging_count)

                print('training cost:{} and training accuracy:{}'.format(train_costs[i], train_accuracies[i]))

                ### CALCULATE VALID COSTS AND VALID ACCURACIES
                sess.run(iter.initializer, feed_dict={a_1: valid_images_set, y: valid_labels_set,
                                                      batch_size: len(valid_images_set)})
                _, _, val_acc, val_cost, _ = sess.run([predictions,acct_mat,acct_res, cost, a_3],
                                                      feed_dict = {drop_out : 0.0,set1_mask:set_mask_val})
                val_costs.append(val_cost)
                val_accuracies.append(val_acc)

                if(val_acc>best_val):
                    best_val = val_acc
                    best_params_set1 = [(w_2.eval(),b_2.eval()),(w_3.eval(),b_3.eval())]
                print('validation cost:{} and validation accuracy:{}'.format(val_cost, val_acc))   
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: BATCH_SIZE})


                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                  batch_size: BATCH_SIZE})
                print('Training on :{}'.format(current_set))
                for j in range(n_batches):

                    if(not (np.isnan(w_2.eval().any() and np.isnan(w_3.eval()).any()))):
                        #if(a_set==1):
                        #    print(j, w_2.eval().sum(), w_3.eval().sum())
                        if(((j)% 1000 ==0)):
                            logging_count+=1
                            summary,_,_ = sess.run([merged,step, omega_step], 
                                                 feed_dict = {drop_out:0.0,batch_size: BATCH_SIZE,tau:0.5,
                                                              set1_mask:set_mask_val,eta:0.001,
                                                              lmbda:lmbdas[l],n_tot:train_total})
                            #train_writer.add_summary(summary, (i+1)*j)
                            train_writer.add_summary(summary, logging_count)
                        else:
                            sess.run([step, omega_step],feed_dict = {drop_out:0.0,batch_size:BATCH_SIZE,
                                                                     tau:0.5,set1_mask:set_mask_val,
                                                                     eta:0.001,lmbda:lmbdas[l],
                                                                     n_tot:train_total})
                    else:
                        print('Nan encountered in epoch:{} and batch:{}'.format(i, j))
                #@@print('Epoch time:{}'.format(time.time()-t1))


            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,final_test_acc,_ = sess.run([predictions, acct_res, a_3], 
                                                                  feed_dict = {drop_out:0.0, 
                                                                               set1_mask:set_mask_val})
            #@@print('Final test accuracy is:{}'.format(final_test_acc))
            end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
            #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
            #@@sess.run(update_star_wbs)
            sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
            sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
            
            
            #all_final_test_accs_set1.append(final_test_acc)


            #@@best_step = [tf.assign(w_2,best_params_set1[0][0]), tf.assign(b_2,best_params_set1[0][1]),
            #@@             tf.assign(w_3,best_params_set1[1][0]),tf.assign(b_3,best_params_set1[1][1])]
            #@@sess.run(best_step)
            
            sess.run(w_2_update_op, {w_2_update_placeholder:best_params_set1[0][0]})
            sess.run(b_2_update_op, {b_2_update_placeholder:best_params_set1[0][1]})
            
            sess.run(w_3_update_op, {w_3_update_placeholder:best_params_set1[1][0]})
            sess.run(b_3_update_op, {b_3_update_placeholder:best_params_set1[1][1]})
            
            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,test_acc_corresp_best_val,_ = sess.run([predictions, acct_res, a_3],
                                                     feed_dict = {drop_out:0.0,set1_mask:set_mask_val})

            #@@print('Test accuracy corresp to best val acc:{}'.format(test_acc_corresp_best_val))
            print('Time taken:{}'.format(time.time()-T1))
            #w3_list.append(w_3.eval())
            w3_accum.append(w_3.eval())
            #b3_list.append(b_3.eval())
            b3_accum.append(b_3.eval())
            if(i==epochs-1):
                if(test_acc_corresp_best_val>final_test_acc):
                    end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
                    #all_final_test_accs_set1[-1] = test_acc_corresp_best_val
                    #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
                    #@@sess.run(update_star_wbs)
                    
                    sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
                    sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
                    

                #@@best_step = [tf.assign(w_2,end_w2), tf.assign(b_2,end_b2),
                #@@         tf.assign(w_3,end_w3),tf.assign(b_3,end_b3)]
                #@@sess.run(best_step)
                
                
                sess.run(w_2_update_op, {w_2_update_placeholder:end_w2})
                sess.run(b_2_update_op, {b_2_update_placeholder:end_b2})
                
                sess.run(w_3_update_op, {w_3_update_placeholder:end_w3})
                sess.run(b_3_update_op, {b_3_update_placeholder:end_b3})

                first_params_set = [(start_w2, start_b2)]
                last_params_set = [(end_w2, end_b2)]

                small_omegas = [(w2_grad_accum.eval(),b2_grad_accum.eval())]

                delta_ws = map(lambda x,y: np.square(x-y)+zeta,[item[0] for item in last_params_set],
                           [item[0] for item in first_params_set])

                delta_bs = map(lambda x,y: np.square(x-y)+zeta,[item[1] for item in last_params_set],
                           [item[1] for item in first_params_set])
                delta_wbs = zip(delta_ws, delta_bs)

                big_omegas_ws = map(lambda x,y: (x/y),[item[0] for item in small_omegas],
                           [item[0] for item in delta_wbs])            
                big_omegas_bs = map(lambda x,y: (x/y),[item[1] for item in small_omegas],
                           [item[1] for item in delta_wbs])

                big_omegas = zip(big_omegas_ws, big_omegas_bs)
                new_big_omeg_w2 += big_omegas[0][0]
                new_big_omeg_b2 += big_omegas[0][1]
                #@@print('omegW2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_w2.max(),
                #@@                                                new_big_omeg_w2.mean(),
                #@@                                                new_big_omeg_w2.std()))
                #@@print('omegb2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_b2.max(),
                #@@                                                new_big_omeg_b2.mean(),
                #@@                                                new_big_omeg_b2.std()))

        historical_train_accuracies[current_set_name]=train_accuracies
        historical_train_costs[current_set_name]=train_costs
        historical_val_accuracies[current_set_name]=val_accuracies
        historical_val_costs[current_set_name]=val_costs
    
    #######Method 3 ###########
    w3_set_rows = []
    offset=0
    for item in w3_accum:
        w3_set_rows.append(item[:,offset:offset+2])
        offset+=2


    w3_set_row_avgs = [item.mean() for item in w3_set_rows]
    final_w3 = map(lambda x,y:x-y,w3_set_rows, w3_set_row_avgs)
    final_w3 = np.concatenate(final_w3, axis=1)

    b3_set_rows = []
    offset=0
    for item in b3_accum:
        b3_set_rows.append(item[:,offset:offset+2])
        offset+=2
    b3_set_row_avgs = [item.mean() for item in b3_set_rows]
    final_b3 = map(lambda x,y:x-y,b3_set_rows, b3_set_row_avgs)
    final_b3 = np.concatenate(final_b3, axis=1)

    #@@set_w3 = [tf.assign(w_3, final_w3), tf.assign(b_3, final_b3)]
    #@@sess.run(set_w3)
    sess.run(w_3_update_op, {w_3_update_placeholder:final_w3})
    sess.run(b_3_update_op, {b_3_update_placeholder:final_b3})

    sess.run(iter.initializer, feed_dict={a_1: test_images, y: to_categorical(test_labels,num_classes=num_classes),
                                                      batch_size: len(test_images)})
    _,final_test_acc,_ = sess.run([predictions, acct_res, a_3],
                                  feed_dict = {drop_out:0.0,set1_mask:set_mask_val})
    method3_test_accs.append(final_test_acc)
    print('Method 3 test accuracy:{}'.format(final_test_acc))
    
    
train_writer.close()
Training with lmbda:0, 0
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.0424780659378 and training accuracy:0.99514144659
validation cost:0.0425861291587 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0238319151103 and training accuracy:0.995575249195
validation cost:0.0244052931666 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0170864723623 and training accuracy:0.996703088284
validation cost:0.0173231437802 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0137033909559 and training accuracy:0.997136890888
validation cost:0.0140941208228 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0115019194782 and training accuracy:0.997657477856
validation cost:0.0115101812407 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0099402749911 and training accuracy:0.997744202614
validation cost:0.00971961114556 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00863864738494 and training accuracy:0.998004496098
validation cost:0.0086479568854 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00776934204623 and training accuracy:0.99809128046
validation cost:0.0084388460964 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00688597885892 and training accuracy:0.998178005219
validation cost:0.00751441437751 and validation accuracy:0.998244047165
Training on :(0, 1)
Time taken:130.874908924
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.168302044272 and training accuracy:0.950004518032
validation cost:0.169079318643 and validation accuracy:0.943014681339
Training on :(2, 3)
training cost:0.113371483982 and training accuracy:0.968548297882
validation cost:0.12098506093 and validation accuracy:0.962316155434
Training on :(2, 3)
training cost:0.0885975807905 and training accuracy:0.97309333086
validation cost:0.0926486998796 and validation accuracy:0.967830896378
Training on :(2, 3)
training cost:0.0738820210099 and training accuracy:0.974093258381
validation cost:0.0787701904774 and validation accuracy:0.96875
Training on :(2, 3)
training cost:0.0646886602044 and training accuracy:0.977183878422
validation cost:0.0672900676727 and validation accuracy:0.971507370472
Training on :(2, 3)
training cost:0.0566079691052 and training accuracy:0.9806381464
validation cost:0.0583092048764 and validation accuracy:0.976102948189
Training on :(2, 3)
training cost:0.0513964854181 and training accuracy:0.982819736004
validation cost:0.0509350299835 and validation accuracy:0.980698525906
Training on :(2, 3)
training cost:0.0464820750058 and training accuracy:0.985546767712
validation cost:0.0469166785479 and validation accuracy:0.984375
Training on :(2, 3)
training cost:0.0427470132709 and training accuracy:0.987273871899
validation cost:0.0414676591754 and validation accuracy:0.987132370472
Training on :(2, 3)
Time taken:122.635829926
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.0990518555045 and training accuracy:0.991609752178
validation cost:0.0925189256668 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0539999529719 and training accuracy:0.99287801981
validation cost:0.0477138087153 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0376890674233 and training accuracy:0.994829297066
validation cost:0.0302194636315 and validation accuracy:0.999012827873
Training on :(4, 5)
training cost:0.0290481522679 and training accuracy:0.99658536911
validation cost:0.0220831781626 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.023657489568 and training accuracy:0.997756123543
validation cost:0.0176057368517 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0198712404817 and training accuracy:0.998341441154
validation cost:0.0145276719704 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0169922467321 and training accuracy:0.998341441154
validation cost:0.0122214574367 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0153050273657 and training accuracy:0.998146355152
validation cost:0.011213125661 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0139560960233 and training accuracy:0.998243927956
validation cost:0.0100094126537 and validation accuracy:1.0
Training on :(4, 5)
Time taken:130.478960991
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(6, 7)
training cost:0.0636208951473 and training accuracy:0.991611778736
validation cost:0.0635736957192 and validation accuracy:0.989051103592
Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:7315.44010634, 2
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:121.412664175
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:14121.1432429, 22
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Train features:(10250, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.786099970341
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.786800026894
Training with lmbda:7315.44010634, 34
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:118.314898014
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.786800026894
Training with lmbda:14829.5807522, 39
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:18789.9334938, 40
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:121.152856827
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:57022.3889316, 46
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Train features:(10738, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:60164.2319161, 47
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.796400010586
Training with lmbda:45275.5632191, 60
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:120.915061951
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:55745.0609696, 61
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:120.737991095
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:121.694267035
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:57022.3889316, 62
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
Time taken:112.603735924
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
Time taken:112.397829056
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:118.104044914
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Training with lmbda:9227.69480373, 68
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0442401729524 and training accuracy:0.986546695232
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Training on :(2, 3)
Time taken:120.567087889
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:121.524744034
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:118.535394192
Method 3 test accuracy:0.778299987316
Training with lmbda:12509.6548196, 69
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Valid features:(1088, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:121.834098101
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:117.636846066
Method 3 test accuracy:0.778199970722
Training with lmbda:14121.1432429, 70
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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validation cost:0.0419569499791 and validation accuracy:0.990583777428
Training on :(8, 9)
Time taken:117.604227066
Method 3 test accuracy:0.778800010681

Final accuracies

In [17]:
final_test_acc = pd.DataFrame({'Method3':method3_test_accs, 'lambdas':lmbdas})
final_test_acc.to_csv('spike_sh_16lmbdas_ar1_3lyrs_he1.csv')
final_test_acc
Out[17]:
Method3 lambdas
0 0.7898 0.000000
1 0.7901 318.522793
2 0.7897 7315.440106
3 0.7877 8205.915653
4 0.7838 9227.694804
5 0.7834 12509.654820
6 0.7833 14121.143243
7 0.7825 14829.580752
8 0.7828 18789.933494
9 0.7815 28654.937376
10 0.7826 36679.833571
11 0.7835 38818.799736
12 0.7828 45275.563219
13 0.7808 55745.060970
14 0.7773 57022.388932
15 0.7806 60164.231916
16 0.7927 0.000000
17 0.7923 318.522793
18 0.7909 7315.440106
19 0.7919 8205.915653
20 0.7922 9227.694804
21 0.7915 12509.654820
22 0.7861 14121.143243
23 0.7918 14829.580752
24 0.7918 18789.933494
25 0.7923 28654.937376
26 0.7927 36679.833571
27 0.7866 38818.799736
28 0.7929 45275.563219
29 0.7922 55745.060970
... ... ...
50 0.7902 7315.440106
51 0.7897 8205.915653
52 0.7905 9227.694804
53 0.7905 12509.654820
54 0.7876 14121.143243
55 0.7867 14829.580752
56 0.7864 18789.933494
57 0.7981 28654.937376
58 0.7909 36679.833571
59 0.7964 38818.799736
60 0.7894 45275.563219
61 0.7851 55745.060970
62 0.8053 57022.388932
63 0.7904 60164.231916
64 0.7784 0.000000
65 0.7790 318.522793
66 0.7783 7315.440106
67 0.7790 8205.915653
68 0.7783 9227.694804
69 0.7782 12509.654820
70 0.7786 14121.143243
71 0.7780 14829.580752
72 0.7775 18789.933494
73 0.7776 28654.937376
74 0.7780 36679.833571
75 0.7785 38818.799736
76 0.7783 45275.563219
77 0.7786 55745.060970
78 0.7784 57022.388932
79 0.7788 60164.231916

80 rows × 2 columns

final_test_accuracies [0.682, 0.7121, 0.7243, 0.5746, 0.5998, 0.6755, 0.7068, 0.7382, 0.6611, 0.6537] for lmbdas = np.array([1.0+i/10.0 for i in range(1,11)])*1.0e5 lmbdas = lmbdas.tolist()

Groupby $\lambda$

In [18]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
mean_acc_grouped_by_lmbda = acc_grouped_by_lmbda.mean()
display(mean_acc_grouped_by_lmbda)
Method3
lambdas
0.000000 0.78762
318.522793 0.78752
7315.440106 0.78726
8205.915653 0.78698
9227.694804 0.78634
12509.654820 0.78596
14121.143243 0.78448
14829.580752 0.78520
18789.933494 0.78504
28654.937376 0.78736
36679.833571 0.78618
38818.799736 0.78628
45275.563219 0.78608
55745.060970 0.78482
57022.388932 0.78820
60164.231916 0.78588
In [19]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
std_acc_grouped_by_lmbda = acc_grouped_by_lmbda.std()
display(std_acc_grouped_by_lmbda)
Method3
lambdas
0.000000 0.005442
318.522793 0.005151
7315.440106 0.005199
8205.915653 0.004898
9227.694804 0.005546
12509.654820 0.005434
14121.143243 0.003664
14829.580752 0.005200
18789.933494 0.005296
28654.937376 0.008206
36679.833571 0.006016
38818.799736 0.006534
45275.563219 0.005694
55745.060970 0.005386
57022.388932 0.011505
60164.231916 0.005951
In [20]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
max_acc_grouped_by_lmbda = acc_grouped_by_lmbda.max()
display(max_acc_grouped_by_lmbda)
Method3
lambdas
0.000000 0.7927
318.522793 0.7923
7315.440106 0.7909
8205.915653 0.7919
9227.694804 0.7922
12509.654820 0.7915
14121.143243 0.7876
14829.580752 0.7918
18789.933494 0.7918
28654.937376 0.7981
36679.833571 0.7927
38818.799736 0.7964
45275.563219 0.7929
55745.060970 0.7922
57022.388932 0.8053
60164.231916 0.7923

Plots

In [23]:
mpl.rcParams['figure.figsize'] = 7,4.5
mpl.rcParams['axes.labelsize'] = 12
mpl.rcParams['lines.linewidth'] = 1.5
mpl.rcParams['lines.markersize'] = 8
mpl.rcParams['xtick.labelsize'] = 13
mpl.rcParams['ytick.labelsize'] = 12
mpl.rcParams['legend.fontsize'] = 12

mean_acc_grouped_by_lmbda.plot(y='Method3')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.show()

Some histograms

W_2

In [24]:
plt.hist(w_2.eval().flatten(), 100)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Omega_W_2

In [25]:
plt.hist(new_big_omeg_w2.flatten(),bins=100,log=True)
#plt.yscale('log')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

b_2

In [26]:
plt.hist(b_2.eval().flatten(), 100)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Omega_b_2

In [27]:
plt.hist(new_big_omeg_b2.flatten(),100,log=True)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

W_3

In [28]:
plt.hist(w_3.eval().flatten(), 100)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

b_3

In [29]:
plt.hist(b_3.eval().flatten(), 10)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Init the writer with $\lambda$s (0, 6.75*2.5)e4

In [9]:
path = '/home/ruthvik/Desktop/Summer 2017/tf_graph_outputs/mnist/continual_learning/original_mnist_5sets'
merged = tf.summary.merge_all()
train_writer = tf.summary.FileWriter(path + '/spike_sh_16lmbdas_ar1_3lyrs_he1_v2', sess.graph)

Generate $\lambda$s

In [10]:
np.random.seed(100)
n_lmbdas = 15
a = np.random.uniform(low=0.0, high=6.75, size=(n_lmbdas,))
print(a)
print()
a = a*2.5e4
a = a[np.argsort(a)]
print(a)
print()
n_reps = 5
a = ([0]+a.tolist())*n_reps
n_lmbdas+=1
print(a, len(a))
[3.66798336 1.87899335 2.86549374 5.70223889 0.03185228 0.82059157
 4.52755632 5.5745061  0.92276948 3.88187997 6.01642319 1.41211432
 1.25096548 0.73154401 1.48295808]
()
[   796.30698223  18288.60026584  20514.78913215  23069.23700934
  31274.13704908  35302.85810728  37073.95188047  46974.83373458
  71637.34343892  91699.58392723  97046.99934085 113188.90804764
 139362.65242398 142555.97232898 150410.57979019]
()
([0, 796.3069822266202, 18288.600265843055, 20514.789132150523, 23069.237009335815, 31274.13704907517, 35302.858107275744, 37073.95188046742, 46974.833734578104, 71637.34343891621, 91699.58392722541, 97046.99934084844, 113188.9080476439, 139362.65242397678, 142555.97232898374, 150410.57979019455, 0, 796.3069822266202, 18288.600265843055, 20514.789132150523, 23069.237009335815, 31274.13704907517, 35302.858107275744, 37073.95188046742, 46974.833734578104, 71637.34343891621, 91699.58392722541, 97046.99934084844, 113188.9080476439, 139362.65242397678, 142555.97232898374, 150410.57979019455, 0, 796.3069822266202, 18288.600265843055, 20514.789132150523, 23069.237009335815, 31274.13704907517, 35302.858107275744, 37073.95188046742, 46974.833734578104, 71637.34343891621, 91699.58392722541, 97046.99934084844, 113188.9080476439, 139362.65242397678, 142555.97232898374, 150410.57979019455, 0, 796.3069822266202, 18288.600265843055, 20514.789132150523, 23069.237009335815, 31274.13704907517, 35302.858107275744, 37073.95188046742, 46974.833734578104, 71637.34343891621, 91699.58392722541, 97046.99934084844, 113188.9080476439, 139362.65242397678, 142555.97232898374, 150410.57979019455, 0, 796.3069822266202, 18288.600265843055, 20514.789132150523, 23069.237009335815, 31274.13704907517, 35302.858107275744, 37073.95188046742, 46974.833734578104, 71637.34343891621, 91699.58392722541, 97046.99934084844, 113188.9080476439, 139362.65242397678, 142555.97232898374, 150410.57979019455], 80)

Generate random weights

In [11]:
lmbdas = a
np.random.seed(0)
np_weights = []
low = -np.sqrt(2.0/(n_input)) # use 4 for sigmoid, 1 for tanh activation 
high = np.sqrt(2.0/(n_input))
for i in range(n_reps):
    np_weights.append(np.random.uniform(low=low,high=high,size=(n_input,n_middle)))

np_weights=[item for item in np_weights for i in range(n_lmbdas)]
print(len(np_weights), len(lmbdas))
(80, 80)
In [12]:
np.array_equal(np_weights[0], np_weights[15])
Out[12]:
True
In [13]:
np.array_equal(np_weights[0], np_weights[16])
Out[13]:
False

Commence training

In [14]:
method3_test_accs = []
#INITIALIZE THE NETWORK
logging_count = 0
sess.run(init_op,options=run_options, run_metadata=run_metadata)
sess.graph.finalize()
for l in range(len(lmbdas)):
    print('Training with lmbda:{}, {}'.format(lmbdas[l], l))
    #sess.run(init_op,options=run_options, run_metadata=run_metadata)
    zeta = 1e-3
    new_big_omeg_w2 = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    new_big_omeg_b2 = np.zeros(shape=[1,n_middle], dtype=np.float32)
    w3_zeros = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    b3_zeros = np.zeros(shape=[1,n_out], dtype=np.float32)
    w3_accum = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    w3_accum = []
    b3_accum = np.zeros(shape=[1,n_out], dtype=np.float32)
    b3_accum = []
    reset_w2_grad_accum = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    reset_b2_grad_accum = np.zeros(shape=[1,n_middle], dtype=np.float32)

    start_w2 = None
    start_b2 = None
    sess.run(w_2_update_op, {w_2_update_placeholder:np_weights[l]})
    sess.run(b_2_update_op, {b_2_update_placeholder:np.zeros(shape=[1,n_middle],dtype=np.float32)})
    end_w2 = None
    end_b2 = None

    old_test_data = []
    historical_cross_test_acc = {}
    historical_train_accuracies = {}
    historical_train_costs = {}
    historical_val_accuracies = {}
    historical_val_costs = {}
    sets = [(0,1), (2,3), (4,5), (6,7), (8,9)]
    #sets = [(0,4),(5,9)]
    test_labels_set = []
    
    n_test_samples = []
    for a_set in range(len(sets)):
        current_set = sets[a_set]
        current_set_name = 'set'+str(a_set)
        mask_val = [0]*num_classes
        for i in range(0, current_set[1]+1):
            mask_val[i]=1
        set_mask_val = np.array(mask_val, dtype=np.float32)
        print('Current mask:{}'.format(set_mask_val))
        train_data_set, valid_data_set, test_data_set = extract_class_data(start=current_set[0],
                                                                      stop=current_set[1])
        train_images_set, train_labels_set = train_data_set[0], train_data_set[1]
        valid_images_set, valid_labels_set = valid_data_set[0], valid_data_set[1]
        test_images_set, test_labels_set = test_data_set[0], test_data_set[1]
        n_test_samples.append(len(test_labels_set))
        train_total = len(train_images_set)
        n_batches = len(train_images_set)/BATCH_SIZE
        #@@print('Number of batches:{}'.format(n_batches))


        #@@set_omegas = [tf.assign(big_omeg_w2, new_big_omeg_w2), tf.assign(big_omeg_b2, new_big_omeg_b2)]
        #@@sess.run(set_omegas)
        
        sess.run(big_omeg_w2_update_op, {big_omeg_w2_update_placeholder:new_big_omeg_w2})
        sess.run(big_omeg_b2_update_op, {big_omeg_b2_update_placeholder:new_big_omeg_b2})

        #@@reset_grad_accums = [tf.assign(w2_grad_accum, reset_w2_grad_accum),
        #@@                     tf.assign(b2_grad_accum, reset_b2_grad_accum)]
        #@@sess.run(reset_grad_accums)
        
        sess.run(w2_grad_accum_update_op, {w2_grad_accum_update_placeholder:reset_w2_grad_accum})
        sess.run(b2_grad_accum_update_op, {b2_grad_accum_update_placeholder:reset_b2_grad_accum})

        
        #@@reset_w3 = [tf.assign(w_3, w3_zeros), tf.assign(b_3, b3_zeros)]
        #@@sess.run(reset_w3)
        sess.run(w_3_update_op, {w_3_update_placeholder:w3_zeros})
        sess.run(b_3_update_op, {b_3_update_placeholder:b3_zeros})
    
        epochs = 10
        repeats = 1

        for repeat in range(repeats):
            #tf.set_random_seed(l)
            print('Repeat:{}'.format(repeat))
            train_accuracies = []
            train_costs = []
            val_accuracies = []
            val_costs = []
            best_val = 0
            first_params_set = None
            last_params_set = None
            T1 = time.time()
            for i in range(epochs):
                if(i==0):
                    start_w2, start_b2 = w_2.eval(), b_2.eval()
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: len(train_images_set)})
                #@@print('Epoch:{}'.format((i)))
                t1 = time.time()

                ### CALCULATE TRAIN COSTS AND TRAIN ACCURACIES
                train_cost, train_accuracy = sess.run([cost, acct_res] ,feed_dict = {drop_out : 0.0, 
                                                                                     set1_mask:set_mask_val})
                train_costs.append(train_cost)
                train_accuracies.append(train_accuracy)
                #train_writer.add_summary(summary,logging_count)

                print('training cost:{} and training accuracy:{}'.format(train_costs[i], train_accuracies[i]))

                ### CALCULATE VALID COSTS AND VALID ACCURACIES
                sess.run(iter.initializer, feed_dict={a_1: valid_images_set, y: valid_labels_set,
                                                      batch_size: len(valid_images_set)})
                _, _, val_acc, val_cost, _ = sess.run([predictions,acct_mat,acct_res, cost, a_3],
                                                      feed_dict = {drop_out : 0.0,set1_mask:set_mask_val})
                val_costs.append(val_cost)
                val_accuracies.append(val_acc)

                if(val_acc>best_val):
                    best_val = val_acc
                    best_params_set1 = [(w_2.eval(),b_2.eval()),(w_3.eval(),b_3.eval())]
                print('validation cost:{} and validation accuracy:{}'.format(val_cost, val_acc))   
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: BATCH_SIZE})


                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                  batch_size: BATCH_SIZE})
                print('Training on :{}'.format(current_set))
                for j in range(n_batches):

                    if(not (np.isnan(w_2.eval().any() and np.isnan(w_3.eval()).any()))):
                        #if(a_set==1):
                        #    print(j, w_2.eval().sum(), w_3.eval().sum())
                        if(((j)% 1000 ==0)):
                            logging_count+=1
                            summary,_,_ = sess.run([merged,step, omega_step], 
                                                 feed_dict = {drop_out:0.0,batch_size: BATCH_SIZE,tau:0.5,
                                                              set1_mask:set_mask_val,eta:0.001,
                                                              lmbda:lmbdas[l],n_tot:train_total})
                            #train_writer.add_summary(summary, (i+1)*j)
                            train_writer.add_summary(summary, logging_count)
                        else:
                            sess.run([step, omega_step],feed_dict = {drop_out:0.0,batch_size:BATCH_SIZE,
                                                                     tau:0.5,set1_mask:set_mask_val,
                                                                     eta:0.001,lmbda:lmbdas[l],
                                                                     n_tot:train_total})
                    else:
                        print('Nan encountered in epoch:{} and batch:{}'.format(i, j))
                #@@print('Epoch time:{}'.format(time.time()-t1))


            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,final_test_acc,_ = sess.run([predictions, acct_res, a_3], 
                                                                  feed_dict = {drop_out:0.0, 
                                                                               set1_mask:set_mask_val})
            #@@print('Final test accuracy is:{}'.format(final_test_acc))
            end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
            #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
            #@@sess.run(update_star_wbs)
            sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
            sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
            
            
            #all_final_test_accs_set1.append(final_test_acc)


            #@@best_step = [tf.assign(w_2,best_params_set1[0][0]), tf.assign(b_2,best_params_set1[0][1]),
            #@@             tf.assign(w_3,best_params_set1[1][0]),tf.assign(b_3,best_params_set1[1][1])]
            #@@sess.run(best_step)
            
            sess.run(w_2_update_op, {w_2_update_placeholder:best_params_set1[0][0]})
            sess.run(b_2_update_op, {b_2_update_placeholder:best_params_set1[0][1]})
            
            sess.run(w_3_update_op, {w_3_update_placeholder:best_params_set1[1][0]})
            sess.run(b_3_update_op, {b_3_update_placeholder:best_params_set1[1][1]})
            
            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,test_acc_corresp_best_val,_ = sess.run([predictions, acct_res, a_3],
                                                     feed_dict = {drop_out:0.0,set1_mask:set_mask_val})

            #@@print('Test accuracy corresp to best val acc:{}'.format(test_acc_corresp_best_val))
            print('Time taken:{}'.format(time.time()-T1))
            #w3_list.append(w_3.eval())
            w3_accum.append(w_3.eval())
            #b3_list.append(b_3.eval())
            b3_accum.append(b_3.eval())
            if(i==epochs-1):
                if(test_acc_corresp_best_val>final_test_acc):
                    end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
                    #all_final_test_accs_set1[-1] = test_acc_corresp_best_val
                    #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
                    #@@sess.run(update_star_wbs)
                    
                    sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
                    sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
                    

                #@@best_step = [tf.assign(w_2,end_w2), tf.assign(b_2,end_b2),
                #@@         tf.assign(w_3,end_w3),tf.assign(b_3,end_b3)]
                #@@sess.run(best_step)
                
                
                sess.run(w_2_update_op, {w_2_update_placeholder:end_w2})
                sess.run(b_2_update_op, {b_2_update_placeholder:end_b2})
                
                sess.run(w_3_update_op, {w_3_update_placeholder:end_w3})
                sess.run(b_3_update_op, {b_3_update_placeholder:end_b3})

                first_params_set = [(start_w2, start_b2)]
                last_params_set = [(end_w2, end_b2)]

                small_omegas = [(w2_grad_accum.eval(),b2_grad_accum.eval())]

                delta_ws = map(lambda x,y: np.square(x-y)+zeta,[item[0] for item in last_params_set],
                           [item[0] for item in first_params_set])

                delta_bs = map(lambda x,y: np.square(x-y)+zeta,[item[1] for item in last_params_set],
                           [item[1] for item in first_params_set])
                delta_wbs = zip(delta_ws, delta_bs)

                big_omegas_ws = map(lambda x,y: (x/y),[item[0] for item in small_omegas],
                           [item[0] for item in delta_wbs])            
                big_omegas_bs = map(lambda x,y: (x/y),[item[1] for item in small_omegas],
                           [item[1] for item in delta_wbs])

                big_omegas = zip(big_omegas_ws, big_omegas_bs)
                new_big_omeg_w2 += big_omegas[0][0]
                new_big_omeg_b2 += big_omegas[0][1]
                #@@print('omegW2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_w2.max(),
                #@@                                                new_big_omeg_w2.mean(),
                #@@                                                new_big_omeg_w2.std()))
                #@@print('omegb2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_b2.max(),
                #@@                                                new_big_omeg_b2.mean(),
                #@@                                                new_big_omeg_b2.std()))

        historical_train_accuracies[current_set_name]=train_accuracies
        historical_train_costs[current_set_name]=train_costs
        historical_val_accuracies[current_set_name]=val_accuracies
        historical_val_costs[current_set_name]=val_costs
    
    #######Method 3 ###########
    w3_set_rows = []
    offset=0
    for item in w3_accum:
        w3_set_rows.append(item[:,offset:offset+2])
        offset+=2


    w3_set_row_avgs = [item.mean() for item in w3_set_rows]
    final_w3 = map(lambda x,y:x-y,w3_set_rows, w3_set_row_avgs)
    final_w3 = np.concatenate(final_w3, axis=1)

    b3_set_rows = []
    offset=0
    for item in b3_accum:
        b3_set_rows.append(item[:,offset:offset+2])
        offset+=2
    b3_set_row_avgs = [item.mean() for item in b3_set_rows]
    final_b3 = map(lambda x,y:x-y,b3_set_rows, b3_set_row_avgs)
    final_b3 = np.concatenate(final_b3, axis=1)

    #@@set_w3 = [tf.assign(w_3, final_w3), tf.assign(b_3, final_b3)]
    #@@sess.run(set_w3)
    sess.run(w_3_update_op, {w_3_update_placeholder:final_w3})
    sess.run(b_3_update_op, {b_3_update_placeholder:final_b3})

    sess.run(iter.initializer, feed_dict={a_1: test_images, y: to_categorical(test_labels,num_classes=num_classes),
                                                      batch_size: len(test_images)})
    _,final_test_acc,_ = sess.run([predictions, acct_res, a_3],
                                  feed_dict = {drop_out:0.0,set1_mask:set_mask_val})
    method3_test_accs.append(final_test_acc)
    print('Method 3 test accuracy:{}'.format(final_test_acc))
    
    
train_writer.close()
Training with lmbda:0, 0
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.0424780659378 and training accuracy:0.99514144659
validation cost:0.0425861291587 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0238319151103 and training accuracy:0.995575249195
validation cost:0.0244052931666 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0170864723623 and training accuracy:0.996703088284
validation cost:0.0173231437802 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0137033909559 and training accuracy:0.997136890888
validation cost:0.0140941208228 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0115019194782 and training accuracy:0.997657477856
validation cost:0.0115101812407 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0099402749911 and training accuracy:0.997744202614
validation cost:0.00971961114556 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00863864738494 and training accuracy:0.998004496098
validation cost:0.0086479568854 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00776934204623 and training accuracy:0.99809128046
validation cost:0.0084388460964 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00688597885892 and training accuracy:0.998178005219
validation cost:0.00751441437751 and validation accuracy:0.998244047165
Training on :(0, 1)
Time taken:131.736028194
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.168302044272 and training accuracy:0.950004518032
validation cost:0.169079318643 and validation accuracy:0.943014681339
Training on :(2, 3)
training cost:0.113371483982 and training accuracy:0.968548297882
validation cost:0.12098506093 and validation accuracy:0.962316155434
Training on :(2, 3)
training cost:0.0885975807905 and training accuracy:0.97309333086
validation cost:0.0926486998796 and validation accuracy:0.967830896378
Training on :(2, 3)
training cost:0.0738820210099 and training accuracy:0.974093258381
validation cost:0.0787701904774 and validation accuracy:0.96875
Training on :(2, 3)
training cost:0.0646886602044 and training accuracy:0.977183878422
validation cost:0.0672900676727 and validation accuracy:0.971507370472
Training on :(2, 3)
training cost:0.0566079691052 and training accuracy:0.9806381464
validation cost:0.0583092048764 and validation accuracy:0.976102948189
Training on :(2, 3)
training cost:0.0513964854181 and training accuracy:0.982819736004
validation cost:0.0509350299835 and validation accuracy:0.980698525906
Training on :(2, 3)
training cost:0.0464820750058 and training accuracy:0.985546767712
validation cost:0.0469166785479 and validation accuracy:0.984375
Training on :(2, 3)
training cost:0.0427470132709 and training accuracy:0.987273871899
validation cost:0.0414676591754 and validation accuracy:0.987132370472
Training on :(2, 3)
Time taken:124.616271973
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.0990518555045 and training accuracy:0.991609752178
validation cost:0.0925189256668 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0539999529719 and training accuracy:0.99287801981
validation cost:0.0477138087153 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0376890674233 and training accuracy:0.994829297066
validation cost:0.0302194636315 and validation accuracy:0.999012827873
Training on :(4, 5)
training cost:0.0290481522679 and training accuracy:0.99658536911
validation cost:0.0220831781626 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.023657489568 and training accuracy:0.997756123543
validation cost:0.0176057368517 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0198712404817 and training accuracy:0.998341441154
validation cost:0.0145276719704 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0169922467321 and training accuracy:0.998341441154
validation cost:0.0122214574367 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0153050273657 and training accuracy:0.998146355152
validation cost:0.011213125661 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0139560960233 and training accuracy:0.998243927956
validation cost:0.0100094126537 and validation accuracy:1.0
Training on :(4, 5)
Time taken:118.367846012
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(6, 7)
training cost:0.0636208951473 and training accuracy:0.991611778736
validation cost:0.0635736957192 and validation accuracy:0.989051103592
Training on :(6, 7)
training cost:0.0342947021127 and training accuracy:0.996843159199
validation cost:0.0337495431304 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0241673067212 and training accuracy:0.997745096684
validation cost:0.0247216559947 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0191191416234 and training accuracy:0.998015701771
validation cost:0.01931928657 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0155691420659 and training accuracy:0.998286306858
validation cost:0.0159959737211 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0129639329389 and training accuracy:0.9987372756
validation cost:0.0133697763085 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.011112768203 and training accuracy:0.998827457428
validation cost:0.0117992609739 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.00979762617499 and training accuracy:0.999007821083
validation cost:0.0101021369919 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.00877885892987 and training accuracy:0.999098062515
validation cost:0.00852270238101 and validation accuracy:0.999087572098
Training on :(6, 7)
Time taken:127.797518015
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.151477068663 and training accuracy:0.965170443058
validation cost:0.148457437754 and validation accuracy:0.964218437672
Training on :(8, 9)
training cost:0.103641562164 and training accuracy:0.972527444363
validation cost:0.103159971535 and validation accuracy:0.973634660244
Training on :(8, 9)
training cost:0.082123234868 and training accuracy:0.976066291332
validation cost:0.0786714181304 and validation accuracy:0.980225980282
Training on :(8, 9)
training cost:0.069301366806 and training accuracy:0.979791402817
validation cost:0.0627456903458 and validation accuracy:0.98399245739
Training on :(8, 9)
training cost:0.0595998130739 and training accuracy:0.982957720757
validation cost:0.0547399930656 and validation accuracy:0.987758934498
Training on :(8, 9)
training cost:0.0535054244101 and training accuracy:0.985285878181
validation cost:0.0488348640501 and validation accuracy:0.990583777428
Training on :(8, 9)
training cost:0.0479301735759 and training accuracy:0.986775934696
validation cost:0.0455383919179 and validation accuracy:0.991525411606
Training on :(8, 9)
training cost:0.0442771986127 and training accuracy:0.987520933151
validation cost:0.0432717837393 and validation accuracy:0.990583777428
Training on :(8, 9)
training cost:0.0408748500049 and training accuracy:0.988359093666
validation cost:0.0389142967761 and validation accuracy:0.993408679962
Training on :(8, 9)
Time taken:121.30377388
Method 3 test accuracy:0.78979998827
Training with lmbda:796.306982227, 1
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.0424780659378 and training accuracy:0.99514144659
validation cost:0.0425861291587 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0238319151103 and training accuracy:0.995575249195
validation cost:0.0244052931666 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0170864723623 and training accuracy:0.996703088284
validation cost:0.0173231437802 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0137033909559 and training accuracy:0.997136890888
validation cost:0.0140941208228 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0115019194782 and training accuracy:0.997657477856
validation cost:0.0115101812407 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0099402749911 and training accuracy:0.997744202614
validation cost:0.00971961114556 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00863864738494 and training accuracy:0.998004496098
validation cost:0.0086479568854 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00776934204623 and training accuracy:0.99809128046
validation cost:0.0084388460964 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00688597885892 and training accuracy:0.998178005219
validation cost:0.00751441437751 and validation accuracy:0.998244047165
Training on :(0, 1)
Time taken:133.669653177
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.168302044272 and training accuracy:0.950004518032
validation cost:0.169079318643 and validation accuracy:0.943014681339
Training on :(2, 3)
training cost:0.113371483982 and training accuracy:0.968548297882
validation cost:0.12098506093 and validation accuracy:0.962316155434
Training on :(2, 3)
training cost:0.0885975807905 and training accuracy:0.97309333086
validation cost:0.0926486998796 and validation accuracy:0.967830896378
Training on :(2, 3)
training cost:0.073874913156 and training accuracy:0.974093258381
validation cost:0.0787701904774 and validation accuracy:0.96875
Training on :(2, 3)
training cost:0.0646886602044 and training accuracy:0.977183878422
validation cost:0.0672900676727 and validation accuracy:0.971507370472
Training on :(2, 3)
training cost:0.0564844347537 and training accuracy:0.980729043484
validation cost:0.0583035610616 and validation accuracy:0.976102948189
Training on :(2, 3)
training cost:0.0512569919229 and training accuracy:0.98300153017
validation cost:0.0507564842701 and validation accuracy:0.980698525906
Training on :(2, 3)
training cost:0.0464820899069 and training accuracy:0.985546767712
validation cost:0.0472811497748 and validation accuracy:0.984375
Training on :(2, 3)
training cost:0.0426244996488 and training accuracy:0.987273871899
validation cost:0.041500158608 and validation accuracy:0.987132370472
Training on :(2, 3)
Time taken:124.287638903
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.0990266650915 and training accuracy:0.991609752178
validation cost:0.0920302942395 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0540329180658 and training accuracy:0.99287801981
validation cost:0.0478318855166 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.037755984813 and training accuracy:0.994731724262
validation cost:0.0299657285213 and validation accuracy:0.999012827873
Training on :(4, 5)
training cost:0.029135838151 and training accuracy:0.99658536911
validation cost:0.0224184412509 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0236546043307 and training accuracy:0.997756123543
validation cost:0.0179993025959 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0198776386678 and training accuracy:0.998341441154
validation cost:0.0146357016638 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0169732440263 and training accuracy:0.998341441154
validation cost:0.0122212488204 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0152960475534 and training accuracy:0.998048782349
validation cost:0.0112420255318 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0139087866992 and training accuracy:0.998146355152
validation cost:0.0101556610316 and validation accuracy:1.0
Training on :(4, 5)
Time taken:113.786477804
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(6, 7)
training cost:0.0636147931218 and training accuracy:0.991611778736
validation cost:0.0635578483343 and validation accuracy:0.989051103592
Training on :(6, 7)
training cost:0.0341853126884 and training accuracy:0.996933341026
validation cost:0.033898293972 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0241869240999 and training accuracy:0.997745096684
validation cost:0.024723732844 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0191083867103 and training accuracy:0.998015701771
validation cost:0.0193313360214 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0155309373513 and training accuracy:0.998286306858
validation cost:0.0159820858389 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0129935489967 and training accuracy:0.9987372756
validation cost:0.0135570503771 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.0110951820388 and training accuracy:0.998827457428
validation cost:0.0116293327883 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.00982797984034 and training accuracy:0.999007821083
validation cost:0.0102260839194 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.00879415310919 and training accuracy:0.999098062515
validation cost:0.00859204027802 and validation accuracy:0.999087572098
Training on :(6, 7)
Time taken:122.488770962
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.15148922801 and training accuracy:0.965170443058
validation cost:0.148252308369 and validation accuracy:0.96516007185
Training on :(8, 9)
training cost:0.10349150002 and training accuracy:0.972527444363
validation cost:0.102656595409 and validation accuracy:0.973634660244
Training on :(8, 9)
training cost:0.0822133123875 and training accuracy:0.975973188877
validation cost:0.0786989107728 and validation accuracy:0.980225980282
Training on :(8, 9)
training cost:0.0692298561335 and training accuracy:0.979698240757
validation cost:0.0625535920262 and validation accuracy:0.98399245739
Training on :(8, 9)
training cost:0.0596315972507 and training accuracy:0.983050823212
validation cost:0.0548168830574 and validation accuracy:0.987758934498
Training on :(8, 9)
training cost:0.0535449199378 and training accuracy:0.985192775726
validation cost:0.0488376505673 and validation accuracy:0.990583777428
Training on :(8, 9)
training cost:0.0478708669543 and training accuracy:0.986775934696
validation cost:0.0456292182207 and validation accuracy:0.991525411606
Training on :(8, 9)
training cost:0.0441715195775 and training accuracy:0.987427830696
validation cost:0.0423408262432 and validation accuracy:0.990583777428
Training on :(8, 9)
training cost:0.0409896560013 and training accuracy:0.988359093666
validation cost:0.0396223850548 and validation accuracy:0.992467045784
Training on :(8, 9)
Time taken:119.058594942
Method 3 test accuracy:0.790000021458
Training with lmbda:18288.6002658, 2
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.0424780659378 and training accuracy:0.99514144659
validation cost:0.0425861291587 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0238319151103 and training accuracy:0.995575249195
validation cost:0.0244052931666 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0170864723623 and training accuracy:0.996703088284
validation cost:0.0173231437802 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0137033909559 and training accuracy:0.997136890888
validation cost:0.0140941208228 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0115019194782 and training accuracy:0.997657477856
validation cost:0.0115101812407 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0099402749911 and training accuracy:0.997744202614
validation cost:0.00971961114556 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00863864738494 and training accuracy:0.998004496098
validation cost:0.0086479568854 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00776934204623 and training accuracy:0.99809128046
validation cost:0.0084388460964 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00688597885892 and training accuracy:0.998178005219
validation cost:0.00751441437751 and validation accuracy:0.998244047165
Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:23069.2370093, 4
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:122.332502842
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.783100008965
Training with lmbda:35302.8581073, 6
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.783100008965
Training with lmbda:37073.9518805, 7
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:97046.9993408, 11
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:113188.908048, 12
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
Time taken:114.370695114
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:31274.1370491, 21
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:119.682478189
Method 3 test accuracy:0.792500019073
Training with lmbda:35302.8581073, 22
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.794799983501
Training with lmbda:97046.9993408, 27
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.787000000477
Training with lmbda:35302.8581073, 38
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:37073.9518805, 39
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:123.313584805
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Train features:(10738, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:71637.3434389, 41
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.7867000103
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:91699.5839272, 58
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:0, 64
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:31274.1370491, 69
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
Time taken:115.312835932
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:120.606106043
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Training with lmbda:139362.652424, 77
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.777599990368
Training with lmbda:142555.972329, 78
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:120.548549891
Method 3 test accuracy:0.777499973774
Training with lmbda:150410.57979, 79
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Valid features:(1139, 3630)
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Training on :(0, 1)
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validation cost:0.0420646257699 and validation accuracy:0.994732201099
Training on :(0, 1)
training cost:0.0230203382671 and training accuracy:0.995228171349
validation cost:0.0234451759607 and validation accuracy:0.994732201099
Training on :(0, 1)
training cost:0.0167031474411 and training accuracy:0.996703088284
validation cost:0.0187955778092 and validation accuracy:0.994732201099
Training on :(0, 1)
training cost:0.0130601068959 and training accuracy:0.997657477856
validation cost:0.0140707390383 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0111347502097 and training accuracy:0.998004496098
validation cost:0.0117450542748 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.00962120573968 and training accuracy:0.99809128046
validation cost:0.0109322778881 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.00838874466717 and training accuracy:0.998264789581
validation cost:0.0101041002199 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.00755478534847 and training accuracy:0.99809128046
validation cost:0.00917085818946 and validation accuracy:0.995610177517
Training on :(0, 1)
training cost:0.00698435213417 and training accuracy:0.998004496098
validation cost:0.00852664839476 and validation accuracy:0.995610177517
Training on :(0, 1)
Time taken:129.14598918
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.171867415309 and training accuracy:0.947277545929
validation cost:0.173728704453 and validation accuracy:0.943014681339
Training on :(2, 3)
training cost:0.115142084658 and training accuracy:0.968366503716
validation cost:0.11946169287 and validation accuracy:0.963235318661
Training on :(2, 3)
training cost:0.0912334695458 and training accuracy:0.971911668777
validation cost:0.0963196977973 and validation accuracy:0.96875
Training on :(2, 3)
training cost:0.0758773386478 and training accuracy:0.975184082985
validation cost:0.0819409862161 and validation accuracy:0.971507370472
Training on :(2, 3)
training cost:0.0650301128626 and training accuracy:0.978910982609
validation cost:0.0661897957325 and validation accuracy:0.978860318661
Training on :(2, 3)
training cost:0.0579166002572 and training accuracy:0.981819808483
validation cost:0.0601777881384 and validation accuracy:0.979779422283
Training on :(2, 3)
training cost:0.0518716499209 and training accuracy:0.984183251858
validation cost:0.0546671636403 and validation accuracy:0.982536792755
Training on :(2, 3)
training cost:0.0477607734501 and training accuracy:0.985637664795
validation cost:0.0519828945398 and validation accuracy:0.983455896378
Training on :(2, 3)
training cost:0.0442180261016 and training accuracy:0.986546695232
validation cost:0.0472717024386 and validation accuracy:0.985294103622
Training on :(2, 3)
Time taken:123.922990084
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.0942338854074 and training accuracy:0.99356096983
validation cost:0.0833205655217 and validation accuracy:0.998025655746
Training on :(4, 5)
training cost:0.0534335225821 and training accuracy:0.992975592613
validation cost:0.0437034852803 and validation accuracy:0.999012827873
Training on :(4, 5)
training cost:0.0380345359445 and training accuracy:0.994829297066
validation cost:0.0298542045057 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0293156262487 and training accuracy:0.996292710304
validation cost:0.0226040203124 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0242770463228 and training accuracy:0.997170746326
validation cost:0.0179096739739 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0210908483714 and training accuracy:0.997170746326
validation cost:0.0143040930852 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0186501797289 and training accuracy:0.99726831913
validation cost:0.0125527568161 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0168809853494 and training accuracy:0.99726831913
validation cost:0.0109459878877 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0154427085072 and training accuracy:0.997365832329
validation cost:0.00964786857367 and validation accuracy:1.0
Training on :(4, 5)
Time taken:115.303545952
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(6, 7)
training cost:0.0628984123468 and training accuracy:0.991070628166
validation cost:0.063825070858 and validation accuracy:0.989963531494
Training on :(6, 7)
training cost:0.0348196551204 and training accuracy:0.996662735939
validation cost:0.0345997363329 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0249034110457 and training accuracy:0.997745096684
validation cost:0.0257864333689 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0197375100106 and training accuracy:0.997474491596
validation cost:0.0202731899917 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0160844363272 and training accuracy:0.997654914856
validation cost:0.0171464588493 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0139067452401 and training accuracy:0.998015701771
validation cost:0.014165555127 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0121061690152 and training accuracy:0.998196065426
validation cost:0.0126896938309 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0108507405967 and training accuracy:0.998466670513
validation cost:0.0114799691364 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.00980369281024 and training accuracy:0.9987372756
validation cost:0.00978200417012 and validation accuracy:0.9981752038
Training on :(6, 7)
Time taken:124.747390032
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.152182772756 and training accuracy:0.967405498028
validation cost:0.14825540781 and validation accuracy:0.972693026066
Training on :(8, 9)
training cost:0.103497989476 and training accuracy:0.971875607967
validation cost:0.102435767651 and validation accuracy:0.976459503174
Training on :(8, 9)
training cost:0.0826212540269 and training accuracy:0.975973188877
validation cost:0.0839911326766 and validation accuracy:0.97834277153
Training on :(8, 9)
training cost:0.0695876404643 and training accuracy:0.980536401272
validation cost:0.0690471231937 and validation accuracy:0.98399245739
Training on :(8, 9)
training cost:0.0611535422504 and training accuracy:0.982957720757
validation cost:0.0599372349679 and validation accuracy:0.985875725746
Training on :(8, 9)
training cost:0.0541753582656 and training accuracy:0.984633982182
validation cost:0.0513844527304 and validation accuracy:0.98681730032
Training on :(8, 9)
training cost:0.0496257953346 and training accuracy:0.985379040241
validation cost:0.0474896170199 and validation accuracy:0.989642202854
Training on :(8, 9)
training cost:0.0457387007773 and training accuracy:0.986869037151
validation cost:0.0445782802999 and validation accuracy:0.991525411606
Training on :(8, 9)
training cost:0.0426873117685 and training accuracy:0.988265991211
validation cost:0.0424122400582 and validation accuracy:0.990583777428
Training on :(8, 9)
Time taken:120.618019104
Method 3 test accuracy:0.777199983597

Final accuracies

In [15]:
final_test_acc = pd.DataFrame({'Method3':method3_test_accs, 'lambdas':lmbdas})
final_test_acc.to_csv('spike_sh_16lmbdas_ar1_3lyrs_he1_v2.csv')
final_test_acc
Out[15]:
Method3 lambdas
0 0.7898 0.000000
1 0.7900 796.306982
2 0.7824 18288.600266
3 0.7821 20514.789132
4 0.7814 23069.237009
5 0.7831 31274.137049
6 0.7831 35302.858107
7 0.7829 37073.951880
8 0.7823 46974.833735
9 0.7810 71637.343439
10 0.7805 91699.583927
11 0.7813 97046.999341
12 0.7802 113188.908048
13 0.7905 139362.652424
14 0.7816 142555.972329
15 0.7879 150410.579790
16 0.7927 0.000000
17 0.7912 796.306982
18 0.7918 18288.600266
19 0.7859 20514.789132
20 0.7860 23069.237009
21 0.7925 31274.137049
22 0.7884 35302.858107
23 0.7880 37073.951880
24 0.7925 46974.833735
25 0.7939 71637.343439
26 0.7948 91699.583927
27 0.7956 97046.999341
28 0.7961 113188.908048
29 0.7940 139362.652424
... ... ...
50 0.7867 18288.600266
51 0.7900 20514.789132
52 0.7907 23069.237009
53 0.7906 31274.137049
54 0.7920 35302.858107
55 0.7971 37073.951880
56 0.7893 46974.833735
57 0.7896 71637.343439
58 0.7974 91699.583927
59 0.7902 97046.999341
60 0.7906 113188.908048
61 0.7893 139362.652424
62 0.7902 142555.972329
63 0.7897 150410.579790
64 0.7784 0.000000
65 0.7788 796.306982
66 0.7782 18288.600266
67 0.7783 20514.789132
68 0.7778 23069.237009
69 0.7777 31274.137049
70 0.7784 35302.858107
71 0.7788 37073.951880
72 0.7789 46974.833735
73 0.7790 71637.343439
74 0.7785 91699.583927
75 0.7786 97046.999341
76 0.7777 113188.908048
77 0.7776 139362.652424
78 0.7775 142555.972329
79 0.7772 150410.579790

80 rows × 2 columns

Groupby $\lambda$s

In [16]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
mean_acc_grouped_by_lmbda = acc_grouped_by_lmbda.mean()
display(mean_acc_grouped_by_lmbda)
Method3
lambdas
0.000000 0.78762
796.306982 0.78738
18288.600266 0.78516
20514.789132 0.78470
23069.237009 0.78456
31274.137049 0.78618
35302.858107 0.78568
37073.951880 0.78656
46974.833735 0.78600
71637.343439 0.78616
91699.583927 0.78782
97046.999341 0.78670
113188.908048 0.78644
139362.652424 0.78776
142555.972329 0.78650
150410.579790 0.78740
In [17]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
std_acc_grouped_by_lmbda = acc_grouped_by_lmbda.std()
display(std_acc_grouped_by_lmbda)
Method3
lambdas
0.000000 0.005442
796.306982 0.004962
18288.600266 0.005121
20514.789132 0.004569
23069.237009 0.005023
31274.137049 0.005949
35302.858107 0.005188
37073.951880 0.006839
46974.833735 0.005437
71637.343439 0.006143
91699.583927 0.008381
97046.999341 0.006845
113188.908048 0.007538
139362.652424 0.006168
142555.972329 0.007147
150410.579790 0.006381
In [18]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
max_acc_grouped_by_lmbda = acc_grouped_by_lmbda.max()
display(max_acc_grouped_by_lmbda)
Method3
lambdas
0.000000 0.7927
796.306982 0.7912
18288.600266 0.7918
20514.789132 0.7900
23069.237009 0.7907
31274.137049 0.7925
35302.858107 0.7920
37073.951880 0.7971
46974.833735 0.7925
71637.343439 0.7939
91699.583927 0.7974
97046.999341 0.7956
113188.908048 0.7961
139362.652424 0.7940
142555.972329 0.7957
150410.579790 0.7947

Plots

In [19]:
mpl.rcParams['figure.figsize'] = 7,4.5
mpl.rcParams['axes.labelsize'] = 12
mpl.rcParams['lines.linewidth'] = 1.5
mpl.rcParams['lines.markersize'] = 8
mpl.rcParams['xtick.labelsize'] = 13
mpl.rcParams['ytick.labelsize'] = 12
mpl.rcParams['legend.fontsize'] = 12

mean_acc_grouped_by_lmbda.plot(y='Method3')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.show()

Init the $\lambda$s with (7.5, 10)

In [9]:
path = '/home/ruthvik/Desktop/Summer 2017/tf_graph_outputs/mnist/continual_learning/original_mnist_5sets'
merged = tf.summary.merge_all()
train_writer = tf.summary.FileWriter(path + '/spike_sh_15lmbdas_ar1_3lyrs_he1_75_10_no_exp', sess.graph)

Generate $\lambda$s

In [10]:
np.random.seed(100)
n_lmbdas = 15
a = np.random.uniform(low=7.5, high=10, size=(n_lmbdas,))
print(a)
print()
a = a[np.argsort(a)]
print(a)
print()
n_reps = 5
a = ([0]+a.tolist())*n_reps
n_lmbdas+=1
print(a, len(a))
[8.85851235 8.19592346 8.56129398 9.61194033 7.51179714 7.8039228
 9.17687271 9.56463189 7.84176647 8.93773332 9.72830489 8.02300531
 7.96332055 7.77094223 8.04924373]
()
[7.51179714 7.77094223 7.8039228  7.84176647 7.96332055 8.02300531
 8.04924373 8.19592346 8.56129398 8.85851235 8.93773332 9.17687271
 9.56463189 9.61194033 9.72830489]
()
([0, 7.511797140477431, 7.770942226160638, 7.8039228019577855, 7.841766474212382, 7.9633205488751875, 8.023005305292974, 8.04924373156248, 8.195923462734491, 8.561293976872832, 8.858512354477414, 8.937733323568125, 9.176872711816946, 9.56463188776262, 9.61194033079976, 9.728304885780659, 0, 7.511797140477431, 7.770942226160638, 7.8039228019577855, 7.841766474212382, 7.9633205488751875, 8.023005305292974, 8.04924373156248, 8.195923462734491, 8.561293976872832, 8.858512354477414, 8.937733323568125, 9.176872711816946, 9.56463188776262, 9.61194033079976, 9.728304885780659, 0, 7.511797140477431, 7.770942226160638, 7.8039228019577855, 7.841766474212382, 7.9633205488751875, 8.023005305292974, 8.04924373156248, 8.195923462734491, 8.561293976872832, 8.858512354477414, 8.937733323568125, 9.176872711816946, 9.56463188776262, 9.61194033079976, 9.728304885780659, 0, 7.511797140477431, 7.770942226160638, 7.8039228019577855, 7.841766474212382, 7.9633205488751875, 8.023005305292974, 8.04924373156248, 8.195923462734491, 8.561293976872832, 8.858512354477414, 8.937733323568125, 9.176872711816946, 9.56463188776262, 9.61194033079976, 9.728304885780659, 0, 7.511797140477431, 7.770942226160638, 7.8039228019577855, 7.841766474212382, 7.9633205488751875, 8.023005305292974, 8.04924373156248, 8.195923462734491, 8.561293976872832, 8.858512354477414, 8.937733323568125, 9.176872711816946, 9.56463188776262, 9.61194033079976, 9.728304885780659], 80)

Generate random weights

In [11]:
lmbdas = a
np.random.seed(0)
np_weights = []
low = -np.sqrt(2.0/(n_input)) # use 4 for sigmoid, 1 for tanh activation 
high = np.sqrt(2.0/(n_input))
for i in range(n_reps):
    np_weights.append(np.random.uniform(low=low,high=high,size=(n_input,n_middle)))

np_weights=[item for item in np_weights for i in range(n_lmbdas)]
print(len(np_weights), len(lmbdas))
(80, 80)
In [12]:
np.array_equal(np_weights[0], np_weights[15])
Out[12]:
True
In [13]:
np.array_equal(np_weights[0], np_weights[16])
Out[13]:
False

Commence training

In [14]:
method3_test_accs = []
#INITIALIZE THE NETWORK
logging_count = 0
sess.run(init_op,options=run_options, run_metadata=run_metadata)
sess.graph.finalize()
for l in range(len(lmbdas)):
    print('Training with lmbda:{}, {}'.format(lmbdas[l], l))
    #sess.run(init_op,options=run_options, run_metadata=run_metadata)
    zeta = 1e-3
    new_big_omeg_w2 = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    new_big_omeg_b2 = np.zeros(shape=[1,n_middle], dtype=np.float32)
    w3_zeros = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    b3_zeros = np.zeros(shape=[1,n_out], dtype=np.float32)
    w3_accum = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    w3_accum = []
    b3_accum = np.zeros(shape=[1,n_out], dtype=np.float32)
    b3_accum = []
    reset_w2_grad_accum = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    reset_b2_grad_accum = np.zeros(shape=[1,n_middle], dtype=np.float32)

    start_w2 = None
    start_b2 = None
    sess.run(w_2_update_op, {w_2_update_placeholder:np_weights[l]})
    sess.run(b_2_update_op, {b_2_update_placeholder:np.zeros(shape=[1,n_middle],dtype=np.float32)})
    end_w2 = None
    end_b2 = None

    old_test_data = []
    historical_cross_test_acc = {}
    historical_train_accuracies = {}
    historical_train_costs = {}
    historical_val_accuracies = {}
    historical_val_costs = {}
    sets = [(0,1), (2,3), (4,5), (6,7), (8,9)]
    #sets = [(0,4),(5,9)]
    test_labels_set = []
    
    n_test_samples = []
    for a_set in range(len(sets)):
        current_set = sets[a_set]
        current_set_name = 'set'+str(a_set)
        mask_val = [0]*num_classes
        for i in range(0, current_set[1]+1):
            mask_val[i]=1
        set_mask_val = np.array(mask_val, dtype=np.float32)
        print('Current mask:{}'.format(set_mask_val))
        train_data_set, valid_data_set, test_data_set = extract_class_data(start=current_set[0],
                                                                      stop=current_set[1])
        train_images_set, train_labels_set = train_data_set[0], train_data_set[1]
        valid_images_set, valid_labels_set = valid_data_set[0], valid_data_set[1]
        test_images_set, test_labels_set = test_data_set[0], test_data_set[1]
        n_test_samples.append(len(test_labels_set))
        train_total = len(train_images_set)
        n_batches = len(train_images_set)/BATCH_SIZE
        #@@print('Number of batches:{}'.format(n_batches))


        #@@set_omegas = [tf.assign(big_omeg_w2, new_big_omeg_w2), tf.assign(big_omeg_b2, new_big_omeg_b2)]
        #@@sess.run(set_omegas)
        
        sess.run(big_omeg_w2_update_op, {big_omeg_w2_update_placeholder:new_big_omeg_w2})
        sess.run(big_omeg_b2_update_op, {big_omeg_b2_update_placeholder:new_big_omeg_b2})

        #@@reset_grad_accums = [tf.assign(w2_grad_accum, reset_w2_grad_accum),
        #@@                     tf.assign(b2_grad_accum, reset_b2_grad_accum)]
        #@@sess.run(reset_grad_accums)
        
        sess.run(w2_grad_accum_update_op, {w2_grad_accum_update_placeholder:reset_w2_grad_accum})
        sess.run(b2_grad_accum_update_op, {b2_grad_accum_update_placeholder:reset_b2_grad_accum})

        
        #@@reset_w3 = [tf.assign(w_3, w3_zeros), tf.assign(b_3, b3_zeros)]
        #@@sess.run(reset_w3)
        sess.run(w_3_update_op, {w_3_update_placeholder:w3_zeros})
        sess.run(b_3_update_op, {b_3_update_placeholder:b3_zeros})
    
        epochs = 10
        repeats = 1

        for repeat in range(repeats):
            #tf.set_random_seed(l)
            print('Repeat:{}'.format(repeat))
            train_accuracies = []
            train_costs = []
            val_accuracies = []
            val_costs = []
            best_val = 0
            first_params_set = None
            last_params_set = None
            T1 = time.time()
            for i in range(epochs):
                if(i==0):
                    start_w2, start_b2 = w_2.eval(), b_2.eval()
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: len(train_images_set)})
                #@@print('Epoch:{}'.format((i)))
                t1 = time.time()

                ### CALCULATE TRAIN COSTS AND TRAIN ACCURACIES
                train_cost, train_accuracy = sess.run([cost, acct_res] ,feed_dict = {drop_out : 0.0, 
                                                                                     set1_mask:set_mask_val})
                train_costs.append(train_cost)
                train_accuracies.append(train_accuracy)
                #train_writer.add_summary(summary,logging_count)

                print('training cost:{} and training accuracy:{}'.format(train_costs[i], train_accuracies[i]))

                ### CALCULATE VALID COSTS AND VALID ACCURACIES
                sess.run(iter.initializer, feed_dict={a_1: valid_images_set, y: valid_labels_set,
                                                      batch_size: len(valid_images_set)})
                _, _, val_acc, val_cost, _ = sess.run([predictions,acct_mat,acct_res, cost, a_3],
                                                      feed_dict = {drop_out : 0.0,set1_mask:set_mask_val})
                val_costs.append(val_cost)
                val_accuracies.append(val_acc)

                if(val_acc>best_val):
                    best_val = val_acc
                    best_params_set1 = [(w_2.eval(),b_2.eval()),(w_3.eval(),b_3.eval())]
                print('validation cost:{} and validation accuracy:{}'.format(val_cost, val_acc))   
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: BATCH_SIZE})


                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                  batch_size: BATCH_SIZE})
                print('Training on :{}'.format(current_set))
                for j in range(n_batches):

                    if(not (np.isnan(w_2.eval().any() and np.isnan(w_3.eval()).any()))):
                        #if(a_set==1):
                        #    print(j, w_2.eval().sum(), w_3.eval().sum())
                        if(((j)% 1000 ==0)):
                            logging_count+=1
                            summary,_,_ = sess.run([merged,step, omega_step], 
                                                 feed_dict = {drop_out:0.0,batch_size: BATCH_SIZE,tau:0.5,
                                                              set1_mask:set_mask_val,eta:0.001,
                                                              lmbda:lmbdas[l],n_tot:train_total})
                            #train_writer.add_summary(summary, (i+1)*j)
                            train_writer.add_summary(summary, logging_count)
                        else:
                            sess.run([step, omega_step],feed_dict = {drop_out:0.0,batch_size:BATCH_SIZE,
                                                                     tau:0.5,set1_mask:set_mask_val,
                                                                     eta:0.001,lmbda:lmbdas[l],
                                                                     n_tot:train_total})
                    else:
                        print('Nan encountered in epoch:{} and batch:{}'.format(i, j))
                #@@print('Epoch time:{}'.format(time.time()-t1))


            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,final_test_acc,_ = sess.run([predictions, acct_res, a_3], 
                                                                  feed_dict = {drop_out:0.0, 
                                                                               set1_mask:set_mask_val})
            #@@print('Final test accuracy is:{}'.format(final_test_acc))
            end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
            #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
            #@@sess.run(update_star_wbs)
            sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
            sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
            
            
            #all_final_test_accs_set1.append(final_test_acc)


            #@@best_step = [tf.assign(w_2,best_params_set1[0][0]), tf.assign(b_2,best_params_set1[0][1]),
            #@@             tf.assign(w_3,best_params_set1[1][0]),tf.assign(b_3,best_params_set1[1][1])]
            #@@sess.run(best_step)
            
            sess.run(w_2_update_op, {w_2_update_placeholder:best_params_set1[0][0]})
            sess.run(b_2_update_op, {b_2_update_placeholder:best_params_set1[0][1]})
            
            sess.run(w_3_update_op, {w_3_update_placeholder:best_params_set1[1][0]})
            sess.run(b_3_update_op, {b_3_update_placeholder:best_params_set1[1][1]})
            
            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,test_acc_corresp_best_val,_ = sess.run([predictions, acct_res, a_3],
                                                     feed_dict = {drop_out:0.0,set1_mask:set_mask_val})

            #@@print('Test accuracy corresp to best val acc:{}'.format(test_acc_corresp_best_val))
            print('Time taken:{}'.format(time.time()-T1))
            #w3_list.append(w_3.eval())
            w3_accum.append(w_3.eval())
            #b3_list.append(b_3.eval())
            b3_accum.append(b_3.eval())
            if(i==epochs-1):
                if(test_acc_corresp_best_val>final_test_acc):
                    end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
                    #all_final_test_accs_set1[-1] = test_acc_corresp_best_val
                    #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
                    #@@sess.run(update_star_wbs)
                    
                    sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
                    sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
                    

                #@@best_step = [tf.assign(w_2,end_w2), tf.assign(b_2,end_b2),
                #@@         tf.assign(w_3,end_w3),tf.assign(b_3,end_b3)]
                #@@sess.run(best_step)
                
                
                sess.run(w_2_update_op, {w_2_update_placeholder:end_w2})
                sess.run(b_2_update_op, {b_2_update_placeholder:end_b2})
                
                sess.run(w_3_update_op, {w_3_update_placeholder:end_w3})
                sess.run(b_3_update_op, {b_3_update_placeholder:end_b3})

                first_params_set = [(start_w2, start_b2)]
                last_params_set = [(end_w2, end_b2)]

                small_omegas = [(w2_grad_accum.eval(),b2_grad_accum.eval())]

                delta_ws = map(lambda x,y: np.square(x-y)+zeta,[item[0] for item in last_params_set],
                           [item[0] for item in first_params_set])

                delta_bs = map(lambda x,y: np.square(x-y)+zeta,[item[1] for item in last_params_set],
                           [item[1] for item in first_params_set])
                delta_wbs = zip(delta_ws, delta_bs)

                big_omegas_ws = map(lambda x,y: (x/y),[item[0] for item in small_omegas],
                           [item[0] for item in delta_wbs])            
                big_omegas_bs = map(lambda x,y: (x/y),[item[1] for item in small_omegas],
                           [item[1] for item in delta_wbs])

                big_omegas = zip(big_omegas_ws, big_omegas_bs)
                new_big_omeg_w2 += big_omegas[0][0]
                new_big_omeg_b2 += big_omegas[0][1]
                #@@print('omegW2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_w2.max(),
                #@@                                                new_big_omeg_w2.mean(),
                #@@                                                new_big_omeg_w2.std()))
                #@@print('omegb2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_b2.max(),
                #@@                                                new_big_omeg_b2.mean(),
                #@@                                                new_big_omeg_b2.std()))

        historical_train_accuracies[current_set_name]=train_accuracies
        historical_train_costs[current_set_name]=train_costs
        historical_val_accuracies[current_set_name]=val_accuracies
        historical_val_costs[current_set_name]=val_costs
    
    #######Method 3 ###########
    w3_set_rows = []
    offset=0
    for item in w3_accum:
        w3_set_rows.append(item[:,offset:offset+2])
        offset+=2


    w3_set_row_avgs = [item.mean() for item in w3_set_rows]
    final_w3 = map(lambda x,y:x-y,w3_set_rows, w3_set_row_avgs)
    final_w3 = np.concatenate(final_w3, axis=1)

    b3_set_rows = []
    offset=0
    for item in b3_accum:
        b3_set_rows.append(item[:,offset:offset+2])
        offset+=2
    b3_set_row_avgs = [item.mean() for item in b3_set_rows]
    final_b3 = map(lambda x,y:x-y,b3_set_rows, b3_set_row_avgs)
    final_b3 = np.concatenate(final_b3, axis=1)

    #@@set_w3 = [tf.assign(w_3, final_w3), tf.assign(b_3, final_b3)]
    #@@sess.run(set_w3)
    sess.run(w_3_update_op, {w_3_update_placeholder:final_w3})
    sess.run(b_3_update_op, {b_3_update_placeholder:final_b3})

    sess.run(iter.initializer, feed_dict={a_1: test_images, y: to_categorical(test_labels,num_classes=num_classes),
                                                      batch_size: len(test_images)})
    _,final_test_acc,_ = sess.run([predictions, acct_res, a_3],
                                  feed_dict = {drop_out:0.0,set1_mask:set_mask_val})
    method3_test_accs.append(final_test_acc)
    print('Method 3 test accuracy:{}'.format(final_test_acc))
    
    
train_writer.close()
Training with lmbda:0, 0
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.0424780659378 and training accuracy:0.99514144659
validation cost:0.0425861291587 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0238319151103 and training accuracy:0.995575249195
validation cost:0.0244052931666 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0170864723623 and training accuracy:0.996703088284
validation cost:0.0173231437802 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0137033909559 and training accuracy:0.997136890888
validation cost:0.0140941208228 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0115019194782 and training accuracy:0.997657477856
validation cost:0.0115101812407 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0099402749911 and training accuracy:0.997744202614
validation cost:0.00971961114556 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00863864738494 and training accuracy:0.998004496098
validation cost:0.0086479568854 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00776934204623 and training accuracy:0.99809128046
validation cost:0.0084388460964 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00688597885892 and training accuracy:0.998178005219
validation cost:0.00751441437751 and validation accuracy:0.998244047165
Training on :(0, 1)
Time taken:137.231850863
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.168302044272 and training accuracy:0.950004518032
validation cost:0.169079318643 and validation accuracy:0.943014681339
Training on :(2, 3)
training cost:0.113371483982 and training accuracy:0.968548297882
validation cost:0.12098506093 and validation accuracy:0.962316155434
Training on :(2, 3)
training cost:0.0885975807905 and training accuracy:0.97309333086
validation cost:0.0926486998796 and validation accuracy:0.967830896378
Training on :(2, 3)
training cost:0.0738820210099 and training accuracy:0.974093258381
validation cost:0.0787701904774 and validation accuracy:0.96875
Training on :(2, 3)
training cost:0.0646886602044 and training accuracy:0.977183878422
validation cost:0.0672900676727 and validation accuracy:0.971507370472
Training on :(2, 3)
training cost:0.0566079691052 and training accuracy:0.9806381464
validation cost:0.0583092048764 and validation accuracy:0.976102948189
Training on :(2, 3)
training cost:0.0513964854181 and training accuracy:0.982819736004
validation cost:0.0509350299835 and validation accuracy:0.980698525906
Training on :(2, 3)
training cost:0.0464820750058 and training accuracy:0.985546767712
validation cost:0.0469166785479 and validation accuracy:0.984375
Training on :(2, 3)
training cost:0.0427470132709 and training accuracy:0.987273871899
validation cost:0.0414676591754 and validation accuracy:0.987132370472
Training on :(2, 3)
Time taken:128.123242855
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.0990518555045 and training accuracy:0.991609752178
validation cost:0.0925189256668 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0539999529719 and training accuracy:0.99287801981
validation cost:0.0477138087153 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0376890674233 and training accuracy:0.994829297066
validation cost:0.0302194636315 and validation accuracy:0.999012827873
Training on :(4, 5)
training cost:0.0290481522679 and training accuracy:0.99658536911
validation cost:0.0220831781626 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.023657489568 and training accuracy:0.997756123543
validation cost:0.0176057368517 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0198712404817 and training accuracy:0.998341441154
validation cost:0.0145276719704 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0169922467321 and training accuracy:0.998341441154
validation cost:0.0122214574367 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0153050273657 and training accuracy:0.998146355152
validation cost:0.011213125661 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0139560960233 and training accuracy:0.998243927956
validation cost:0.0100094126537 and validation accuracy:1.0
Training on :(4, 5)
Time taken:116.586731195
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(6, 7)
training cost:0.0636208951473 and training accuracy:0.991611778736
validation cost:0.0635736957192 and validation accuracy:0.989051103592
Training on :(6, 7)
training cost:0.0342947021127 and training accuracy:0.996843159199
validation cost:0.0337495431304 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0241673067212 and training accuracy:0.997745096684
validation cost:0.0247216559947 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0191191416234 and training accuracy:0.998015701771
validation cost:0.01931928657 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0155691420659 and training accuracy:0.998286306858
validation cost:0.0159959737211 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0129639329389 and training accuracy:0.9987372756
validation cost:0.0133697763085 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.011112768203 and training accuracy:0.998827457428
validation cost:0.0117992609739 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.00979762617499 and training accuracy:0.999007821083
validation cost:0.0101021369919 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.00877885892987 and training accuracy:0.999098062515
validation cost:0.00852270238101 and validation accuracy:0.999087572098
Training on :(6, 7)
Time taken:123.331638098
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.151477068663 and training accuracy:0.965170443058
validation cost:0.148457437754 and validation accuracy:0.964218437672
Training on :(8, 9)
training cost:0.103641562164 and training accuracy:0.972527444363
validation cost:0.103159971535 and validation accuracy:0.973634660244
Training on :(8, 9)
training cost:0.082123234868 and training accuracy:0.976066291332
validation cost:0.0786714181304 and validation accuracy:0.980225980282
Training on :(8, 9)
training cost:0.069301366806 and training accuracy:0.979791402817
validation cost:0.0627456903458 and validation accuracy:0.98399245739
Training on :(8, 9)
training cost:0.0595998130739 and training accuracy:0.982957720757
validation cost:0.0547399930656 and validation accuracy:0.987758934498
Training on :(8, 9)
training cost:0.0535054244101 and training accuracy:0.985285878181
validation cost:0.0488348640501 and validation accuracy:0.990583777428
Training on :(8, 9)
training cost:0.0479301735759 and training accuracy:0.986775934696
validation cost:0.0455383919179 and validation accuracy:0.991525411606
Training on :(8, 9)
training cost:0.0442771986127 and training accuracy:0.987520933151
validation cost:0.0432717837393 and validation accuracy:0.990583777428
Training on :(8, 9)
training cost:0.0408748500049 and training accuracy:0.988359093666
validation cost:0.0389142967761 and validation accuracy:0.993408679962
Training on :(8, 9)
Time taken:119.170996189
Method 3 test accuracy:0.78979998827
Training with lmbda:7.51179714048, 1
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.0424780659378 and training accuracy:0.99514144659
validation cost:0.0425861291587 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0238319151103 and training accuracy:0.995575249195
validation cost:0.0244052931666 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0170864723623 and training accuracy:0.996703088284
validation cost:0.0173231437802 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0137033909559 and training accuracy:0.997136890888
validation cost:0.0140941208228 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0115019194782 and training accuracy:0.997657477856
validation cost:0.0115101812407 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0099402749911 and training accuracy:0.997744202614
validation cost:0.00971961114556 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00863864738494 and training accuracy:0.998004496098
validation cost:0.0086479568854 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00776934204623 and training accuracy:0.99809128046
validation cost:0.0084388460964 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00688597885892 and training accuracy:0.998178005219
validation cost:0.00751441437751 and validation accuracy:0.998244047165
Training on :(0, 1)
Time taken:127.932966948
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.168302044272 and training accuracy:0.950004518032
validation cost:0.169079318643 and validation accuracy:0.943014681339
Training on :(2, 3)
training cost:0.113371483982 and training accuracy:0.968548297882
validation cost:0.12098506093 and validation accuracy:0.962316155434
Training on :(2, 3)
training cost:0.0885975807905 and training accuracy:0.97309333086
validation cost:0.0926486998796 and validation accuracy:0.967830896378
Training on :(2, 3)
training cost:0.0738820210099 and training accuracy:0.974093258381
validation cost:0.0787701904774 and validation accuracy:0.96875
Training on :(2, 3)
training cost:0.0646886602044 and training accuracy:0.977183878422
validation cost:0.0672900676727 and validation accuracy:0.971507370472
Training on :(2, 3)
training cost:0.0566079691052 and training accuracy:0.9806381464
validation cost:0.0583092048764 and validation accuracy:0.976102948189
Training on :(2, 3)
training cost:0.0513964854181 and training accuracy:0.982819736004
validation cost:0.0509350299835 and validation accuracy:0.980698525906
Training on :(2, 3)
training cost:0.0464820750058 and training accuracy:0.985546767712
validation cost:0.0469166785479 and validation accuracy:0.984375
Training on :(2, 3)
training cost:0.0427470132709 and training accuracy:0.987273871899
validation cost:0.0414676591754 and validation accuracy:0.987132370472
Training on :(2, 3)
Time taken:122.498989105
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.0990518555045 and training accuracy:0.991609752178
validation cost:0.0925189256668 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0539999529719 and training accuracy:0.99287801981
validation cost:0.0477138087153 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0376890674233 and training accuracy:0.994829297066
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:122.668708801
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
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Valid features:(1013, 3630)
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Repeat:0
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:7.80392280196, 3
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:123.637619019
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:8.02300530529, 6
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0427470132709 and training accuracy:0.987273871899
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:8.19592346273, 8
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.790000021458
Training with lmbda:8.85851235448, 10
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:8.93773332357, 11
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0427470132709 and training accuracy:0.987273871899
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:9.72830488578, 15
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:0, 16
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:122.680936813
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:122.39310813
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:7.77094222616, 18
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:123.352900028
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:122.05966711
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:8.02300530529, 22
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:122.446310997
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:8.04924373156, 23
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:123.435121059
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:122.112020969
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:9.6119403308, 30
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:9.72830488578, 31
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:0, 32
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:8.19592346273, 40
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:8.56129397687, 41
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
Time taken:114.595708847
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:7.51179714048, 49
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:7.77094222616, 50
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:123.761116028
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:119.880573034
Method 3 test accuracy:0.789699971676
Training with lmbda:7.80392280196, 51
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
Time taken:114.127099991
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:122.257332087
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:8.04924373156, 55
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:119.605131865
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Training with lmbda:8.19592346273, 56
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:122.472764015
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:9.17687271182, 60
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:119.324212074
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.78979998827
Training with lmbda:9.6119403308, 62
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0416168235242 and training accuracy:0.987092077732
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Training on :(2, 3)
Time taken:122.530841827
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:8.04924373156, 71
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:8.19592346273, 72
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:8.56129397687, 73
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0443670004606 and training accuracy:0.986728489399
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Training on :(2, 3)
Time taken:122.612001896
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0443670004606 and training accuracy:0.986728489399
validation cost:0.0479844585061 and validation accuracy:0.985294103622
Training on :(2, 3)
Time taken:127.695600986
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.0943072885275 and training accuracy:0.993463397026
validation cost:0.083395473659 and validation accuracy:0.998025655746
Training on :(4, 5)
training cost:0.053331580013 and training accuracy:0.993073165417
validation cost:0.0433798357844 and validation accuracy:0.999012827873
Training on :(4, 5)
training cost:0.0374968871474 and training accuracy:0.994829297066
validation cost:0.0288449414074 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0288092717528 and training accuracy:0.996390223503
validation cost:0.0221864599735 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0239357799292 and training accuracy:0.996975600719
validation cost:0.0179479662329 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0206256192178 and training accuracy:0.997170746326
validation cost:0.0143882324919 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0181834287941 and training accuracy:0.99726831913
validation cost:0.0119842672721 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0161860194057 and training accuracy:0.997463405132
validation cost:0.010232088156 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0147315105423 and training accuracy:0.997463405132
validation cost:0.0089998356998 and validation accuracy:1.0
Training on :(4, 5)
Time taken:128.08463192
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(6, 7)
training cost:0.0629686638713 and training accuracy:0.990709841251
validation cost:0.063085667789 and validation accuracy:0.989963531494
Training on :(6, 7)
training cost:0.0347865857184 and training accuracy:0.996572554111
validation cost:0.0342171937227 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0245375912637 and training accuracy:0.997474491596
validation cost:0.0253121834248 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0194008480757 and training accuracy:0.997474491596
validation cost:0.0205389261246 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0156705435365 and training accuracy:0.997745096684
validation cost:0.0162374582142 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0135167920962 and training accuracy:0.997925519943
validation cost:0.0137619227171 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0116283893585 and training accuracy:0.998376488686
validation cost:0.0124588711187 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0104563068599 and training accuracy:0.998466670513
validation cost:0.0107550639659 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.00935703516006 and training accuracy:0.998827457428
validation cost:0.00940547138453 and validation accuracy:0.9981752038
Training on :(6, 7)
Time taken:126.197345972
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.151710405946 and training accuracy:0.966474175453
validation cost:0.14873893559 and validation accuracy:0.970809817314
Training on :(8, 9)
training cost:0.102404296398 and training accuracy:0.972713708878
validation cost:0.101458370686 and validation accuracy:0.976459503174
Training on :(8, 9)
training cost:0.0814551189542 and training accuracy:0.976438820362
validation cost:0.0819562450051 and validation accuracy:0.979284346104
Training on :(8, 9)
training cost:0.0689082965255 and training accuracy:0.980722665787
validation cost:0.0689102709293 and validation accuracy:0.98399245739
Training on :(8, 9)
training cost:0.0609489642084 and training accuracy:0.982771456242
validation cost:0.0598627887666 and validation accuracy:0.985875725746
Training on :(8, 9)
training cost:0.0537236705422 and training accuracy:0.984633982182
validation cost:0.0510799326003 and validation accuracy:0.987758934498
Training on :(8, 9)
training cost:0.0490582250059 and training accuracy:0.985751509666
validation cost:0.0490953698754 and validation accuracy:0.987758934498
Training on :(8, 9)
training cost:0.0447834059596 and training accuracy:0.987800359726
validation cost:0.0450638979673 and validation accuracy:0.990583777428
Training on :(8, 9)
training cost:0.0413905642927 and training accuracy:0.987800359726
validation cost:0.0411700382829 and validation accuracy:0.990583777428
Training on :(8, 9)
Time taken:122.943760872
Method 3 test accuracy:0.778800010681
Training with lmbda:9.72830488578, 79
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.0406066067517 and training accuracy:0.995314955711
validation cost:0.0420646257699 and validation accuracy:0.994732201099
Training on :(0, 1)
training cost:0.0230203382671 and training accuracy:0.995228171349
validation cost:0.0234451759607 and validation accuracy:0.994732201099
Training on :(0, 1)
training cost:0.0167031474411 and training accuracy:0.996703088284
validation cost:0.0187955778092 and validation accuracy:0.994732201099
Training on :(0, 1)
training cost:0.0130601068959 and training accuracy:0.997657477856
validation cost:0.0140707390383 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0111347502097 and training accuracy:0.998004496098
validation cost:0.0117450542748 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.00962120573968 and training accuracy:0.99809128046
validation cost:0.0109322778881 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.00838874466717 and training accuracy:0.998264789581
validation cost:0.0101041002199 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.00755478534847 and training accuracy:0.99809128046
validation cost:0.00917085818946 and validation accuracy:0.995610177517
Training on :(0, 1)
training cost:0.00698435213417 and training accuracy:0.998004496098
validation cost:0.00852664839476 and validation accuracy:0.995610177517
Training on :(0, 1)
Time taken:129.840866089
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.171883046627 and training accuracy:0.947368443012
validation cost:0.173870489001 and validation accuracy:0.943933844566
Training on :(2, 3)
training cost:0.115301266313 and training accuracy:0.968275606632
validation cost:0.11939971894 and validation accuracy:0.963235318661
Training on :(2, 3)
training cost:0.0913520008326 and training accuracy:0.971911668777
validation cost:0.096379943192 and validation accuracy:0.96875
Training on :(2, 3)
training cost:0.0760460272431 and training accuracy:0.975184082985
validation cost:0.0819085538387 and validation accuracy:0.971507370472
Training on :(2, 3)
training cost:0.0653025358915 and training accuracy:0.979456424713
validation cost:0.0665035769343 and validation accuracy:0.978860318661
Training on :(2, 3)
training cost:0.0580889172852 and training accuracy:0.9817289114
validation cost:0.0606088973582 and validation accuracy:0.979779422283
Training on :(2, 3)
training cost:0.0521769523621 and training accuracy:0.984092354774
validation cost:0.0547606013715 and validation accuracy:0.982536792755
Training on :(2, 3)
training cost:0.0476460047066 and training accuracy:0.985728561878
validation cost:0.0518938750029 and validation accuracy:0.983455896378
Training on :(2, 3)
training cost:0.0443670004606 and training accuracy:0.986728489399
validation cost:0.0479844585061 and validation accuracy:0.985294103622
Training on :(2, 3)
Time taken:122.104948044
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.0943072885275 and training accuracy:0.993463397026
validation cost:0.083395473659 and validation accuracy:0.998025655746
Training on :(4, 5)
training cost:0.053331580013 and training accuracy:0.993073165417
validation cost:0.0433798357844 and validation accuracy:0.999012827873
Training on :(4, 5)
training cost:0.0374968871474 and training accuracy:0.994829297066
validation cost:0.0288449414074 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0288092717528 and training accuracy:0.996390223503
validation cost:0.0221864599735 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0239357799292 and training accuracy:0.996975600719
validation cost:0.0179479662329 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0206256192178 and training accuracy:0.997170746326
validation cost:0.0143882324919 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0181834287941 and training accuracy:0.99726831913
validation cost:0.0119842672721 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0161860194057 and training accuracy:0.997463405132
validation cost:0.010232088156 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0147315105423 and training accuracy:0.997463405132
validation cost:0.0089998356998 and validation accuracy:1.0
Training on :(4, 5)
Time taken:118.03403616
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(6, 7)
training cost:0.0629686638713 and training accuracy:0.990709841251
validation cost:0.063085667789 and validation accuracy:0.989963531494
Training on :(6, 7)
training cost:0.0347865857184 and training accuracy:0.996572554111
validation cost:0.0342171937227 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0245375912637 and training accuracy:0.997474491596
validation cost:0.0253121834248 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0194008480757 and training accuracy:0.997474491596
validation cost:0.0205389261246 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0156705435365 and training accuracy:0.997745096684
validation cost:0.0162374582142 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0135167920962 and training accuracy:0.997925519943
validation cost:0.0137619227171 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0116283893585 and training accuracy:0.998376488686
validation cost:0.0124588711187 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0104563068599 and training accuracy:0.998466670513
validation cost:0.0107550639659 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.00935703516006 and training accuracy:0.998827457428
validation cost:0.00940547138453 and validation accuracy:0.9981752038
Training on :(6, 7)
Time taken:128.826741934
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.151710405946 and training accuracy:0.966474175453
validation cost:0.14873893559 and validation accuracy:0.970809817314
Training on :(8, 9)
training cost:0.102404296398 and training accuracy:0.972713708878
validation cost:0.101458370686 and validation accuracy:0.976459503174
Training on :(8, 9)
training cost:0.0814551189542 and training accuracy:0.976438820362
validation cost:0.0819562450051 and validation accuracy:0.979284346104
Training on :(8, 9)
training cost:0.0689082965255 and training accuracy:0.980722665787
validation cost:0.0689102709293 and validation accuracy:0.98399245739
Training on :(8, 9)
training cost:0.0609489642084 and training accuracy:0.982771456242
validation cost:0.0598627887666 and validation accuracy:0.985875725746
Training on :(8, 9)
training cost:0.0537236705422 and training accuracy:0.984633982182
validation cost:0.0510799326003 and validation accuracy:0.987758934498
Training on :(8, 9)
training cost:0.0490582250059 and training accuracy:0.985751509666
validation cost:0.0490953698754 and validation accuracy:0.987758934498
Training on :(8, 9)
training cost:0.0447834059596 and training accuracy:0.987800359726
validation cost:0.0450638979673 and validation accuracy:0.990583777428
Training on :(8, 9)
training cost:0.0413905642927 and training accuracy:0.987800359726
validation cost:0.0411700382829 and validation accuracy:0.990583777428
Training on :(8, 9)
Time taken:122.543135881
Method 3 test accuracy:0.778800010681

Final accuracies

In [15]:
final_test_acc = pd.DataFrame({'Method3':method3_test_accs, 'lambdas':lmbdas})
final_test_acc.to_csv('spike_sh_15lmbdas_ar1_3lyrs_he1_75_10_noexp.csv')
final_test_acc
Out[15]:
Method3 lambdas
0 0.7898 0.000000
1 0.7904 7.511797
2 0.7904 7.770942
3 0.7904 7.803923
4 0.7904 7.841766
5 0.7904 7.963321
6 0.7904 8.023005
7 0.7904 8.049244
8 0.7904 8.195923
9 0.7900 8.561294
10 0.7900 8.858512
11 0.7900 8.937733
12 0.7900 9.176873
13 0.7900 9.564632
14 0.7900 9.611940
15 0.7900 9.728305
16 0.7927 0.000000
17 0.7911 7.511797
18 0.7911 7.770942
19 0.7911 7.803923
20 0.7911 7.841766
21 0.7911 7.963321
22 0.7911 8.023005
23 0.7911 8.049244
24 0.7911 8.195923
25 0.7911 8.561294
26 0.7911 8.858512
27 0.7911 8.937733
28 0.7911 9.176873
29 0.7911 9.564632
... ... ...
50 0.7897 7.770942
51 0.7897 7.803923
52 0.7897 7.841766
53 0.7897 7.963321
54 0.7897 8.023005
55 0.7897 8.049244
56 0.7897 8.195923
57 0.7897 8.561294
58 0.7897 8.858512
59 0.7897 8.937733
60 0.7897 9.176873
61 0.7898 9.564632
62 0.7898 9.611940
63 0.7897 9.728305
64 0.7784 0.000000
65 0.7788 7.511797
66 0.7788 7.770942
67 0.7788 7.803923
68 0.7788 7.841766
69 0.7788 7.963321
70 0.7788 8.023005
71 0.7788 8.049244
72 0.7788 8.195923
73 0.7788 8.561294
74 0.7788 8.858512
75 0.7788 8.937733
76 0.7788 9.176873
77 0.7788 9.564632
78 0.7788 9.611940
79 0.7788 9.728305

80 rows × 2 columns

Groupby $\lambda$s

In [16]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
mean_acc_grouped_by_lmbda = acc_grouped_by_lmbda.mean()
display(mean_acc_grouped_by_lmbda)
Method3
lambdas
0.000000 0.78762
7.511797 0.78752
7.770942 0.78752
7.803923 0.78752
7.841766 0.78752
7.963321 0.78752
8.023005 0.78752
8.049244 0.78752
8.195923 0.78754
8.561294 0.78746
8.858512 0.78746
8.937733 0.78746
9.176873 0.78746
9.564632 0.78748
9.611940 0.78748
9.728305 0.78746
In [17]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
std_acc_grouped_by_lmbda = acc_grouped_by_lmbda.std()
display(std_acc_grouped_by_lmbda)
Method3
lambdas
0.000000 0.005442
7.511797 0.005047
7.770942 0.005047
7.803923 0.005047
7.841766 0.005047
7.963321 0.005047
8.023005 0.005047
8.049244 0.005047
8.195923 0.005048
8.561294 0.004994
8.858512 0.004994
8.937733 0.004994
9.176873 0.004994
9.564632 0.005006
9.611940 0.005006
9.728305 0.004994
In [18]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
max_acc_grouped_by_lmbda = acc_grouped_by_lmbda.max()
display(max_acc_grouped_by_lmbda)
Method3
lambdas
0.000000 0.7927
7.511797 0.7911
7.770942 0.7911
7.803923 0.7911
7.841766 0.7911
7.963321 0.7911
8.023005 0.7911
8.049244 0.7911
8.195923 0.7911
8.561294 0.7911
8.858512 0.7911
8.937733 0.7911
9.176873 0.7911
9.564632 0.7911
9.611940 0.7911
9.728305 0.7911

Plots

In [19]:
mpl.rcParams['figure.figsize'] = 7,4.5
mpl.rcParams['axes.labelsize'] = 12
mpl.rcParams['lines.linewidth'] = 1.5
mpl.rcParams['lines.markersize'] = 8
mpl.rcParams['xtick.labelsize'] = 13
mpl.rcParams['ytick.labelsize'] = 12
mpl.rcParams['legend.fontsize'] = 12

mean_acc_grouped_by_lmbda.plot(y='Method3')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.show()

Init the writer with $\lambda$s with (7.5, 10)e4

In [9]:
path = '/home/ruthvik/Desktop/Summer 2017/tf_graph_outputs/mnist/continual_learning/original_mnist_5sets'
merged = tf.summary.merge_all()
train_writer = tf.summary.FileWriter(path + '/spike_sh_11lmbdas_ar1_3lyrs_he1_75_10', sess.graph)

Generate $\lambda$s

In [10]:
np.random.seed(100)
n_lmbdas = 11
a = np.random.uniform(low=7.5, high=10.0, size=(n_lmbdas,))
print(a)
print()
a = a*1.0e4
a = a[np.argsort(a)]
print(a)
print()
n_reps = 5
a = ([0]+a.tolist())*n_reps
n_lmbdas+=1
print(a, len(a))
[8.85851235 8.19592346 8.56129398 9.61194033 7.51179714 7.8039228
 9.17687271 9.56463189 7.84176647 8.93773332 9.72830489]
()
[75117.97140477 78039.22801958 78417.66474212 81959.23462734
 85612.93976873 88585.12354477 89377.33323568 91768.72711817
 95646.31887763 96119.403308   97283.04885781]
()
([0, 75117.9714047743, 78039.22801957786, 78417.66474212382, 81959.23462734491, 85612.93976872832, 88585.12354477413, 89377.33323568125, 91768.72711816947, 95646.3188776262, 96119.40330799759, 97283.04885780659, 0, 75117.9714047743, 78039.22801957786, 78417.66474212382, 81959.23462734491, 85612.93976872832, 88585.12354477413, 89377.33323568125, 91768.72711816947, 95646.3188776262, 96119.40330799759, 97283.04885780659, 0, 75117.9714047743, 78039.22801957786, 78417.66474212382, 81959.23462734491, 85612.93976872832, 88585.12354477413, 89377.33323568125, 91768.72711816947, 95646.3188776262, 96119.40330799759, 97283.04885780659, 0, 75117.9714047743, 78039.22801957786, 78417.66474212382, 81959.23462734491, 85612.93976872832, 88585.12354477413, 89377.33323568125, 91768.72711816947, 95646.3188776262, 96119.40330799759, 97283.04885780659, 0, 75117.9714047743, 78039.22801957786, 78417.66474212382, 81959.23462734491, 85612.93976872832, 88585.12354477413, 89377.33323568125, 91768.72711816947, 95646.3188776262, 96119.40330799759, 97283.04885780659], 60)

Generate random weights

In [11]:
lmbdas = a
np.random.seed(0)
np_weights = []
low = -np.sqrt(2.0/(n_input)) # use 4 for sigmoid, 1 for tanh activation 
high = np.sqrt(2.0/(n_input))
for i in range(n_reps):
    np_weights.append(np.random.uniform(low=low,high=high,size=(n_input,n_middle)))

np_weights=[item for item in np_weights for i in range(n_lmbdas)]
print(len(np_weights), len(lmbdas))
(60, 60)
In [13]:
np.array_equal(np_weights[0], np_weights[11])
Out[13]:
True
In [14]:
np.array_equal(np_weights[0], np_weights[12])
Out[14]:
False

Commence training

In [15]:
method3_test_accs = []
#INITIALIZE THE NETWORK
logging_count = 0
sess.run(init_op,options=run_options, run_metadata=run_metadata)
sess.graph.finalize()
for l in range(len(lmbdas)):
    print('Training with lmbda:{}, {}'.format(lmbdas[l], l))
    #sess.run(init_op,options=run_options, run_metadata=run_metadata)
    zeta = 1e-3
    new_big_omeg_w2 = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    new_big_omeg_b2 = np.zeros(shape=[1,n_middle], dtype=np.float32)
    w3_zeros = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    b3_zeros = np.zeros(shape=[1,n_out], dtype=np.float32)
    w3_accum = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    w3_accum = []
    b3_accum = np.zeros(shape=[1,n_out], dtype=np.float32)
    b3_accum = []
    reset_w2_grad_accum = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    reset_b2_grad_accum = np.zeros(shape=[1,n_middle], dtype=np.float32)

    start_w2 = None
    start_b2 = None
    sess.run(w_2_update_op, {w_2_update_placeholder:np_weights[l]})
    sess.run(b_2_update_op, {b_2_update_placeholder:np.zeros(shape=[1,n_middle],dtype=np.float32)})
    end_w2 = None
    end_b2 = None

    old_test_data = []
    historical_cross_test_acc = {}
    historical_train_accuracies = {}
    historical_train_costs = {}
    historical_val_accuracies = {}
    historical_val_costs = {}
    sets = [(0,1), (2,3), (4,5), (6,7), (8,9)]
    #sets = [(0,4),(5,9)]
    test_labels_set = []
    
    n_test_samples = []
    for a_set in range(len(sets)):
        current_set = sets[a_set]
        current_set_name = 'set'+str(a_set)
        mask_val = [0]*num_classes
        for i in range(0, current_set[1]+1):
            mask_val[i]=1
        set_mask_val = np.array(mask_val, dtype=np.float32)
        print('Current mask:{}'.format(set_mask_val))
        train_data_set, valid_data_set, test_data_set = extract_class_data(start=current_set[0],
                                                                      stop=current_set[1])
        train_images_set, train_labels_set = train_data_set[0], train_data_set[1]
        valid_images_set, valid_labels_set = valid_data_set[0], valid_data_set[1]
        test_images_set, test_labels_set = test_data_set[0], test_data_set[1]
        n_test_samples.append(len(test_labels_set))
        train_total = len(train_images_set)
        n_batches = len(train_images_set)/BATCH_SIZE
        #@@print('Number of batches:{}'.format(n_batches))


        #@@set_omegas = [tf.assign(big_omeg_w2, new_big_omeg_w2), tf.assign(big_omeg_b2, new_big_omeg_b2)]
        #@@sess.run(set_omegas)
        
        sess.run(big_omeg_w2_update_op, {big_omeg_w2_update_placeholder:new_big_omeg_w2})
        sess.run(big_omeg_b2_update_op, {big_omeg_b2_update_placeholder:new_big_omeg_b2})

        #@@reset_grad_accums = [tf.assign(w2_grad_accum, reset_w2_grad_accum),
        #@@                     tf.assign(b2_grad_accum, reset_b2_grad_accum)]
        #@@sess.run(reset_grad_accums)
        
        sess.run(w2_grad_accum_update_op, {w2_grad_accum_update_placeholder:reset_w2_grad_accum})
        sess.run(b2_grad_accum_update_op, {b2_grad_accum_update_placeholder:reset_b2_grad_accum})

        
        #@@reset_w3 = [tf.assign(w_3, w3_zeros), tf.assign(b_3, b3_zeros)]
        #@@sess.run(reset_w3)
        sess.run(w_3_update_op, {w_3_update_placeholder:w3_zeros})
        sess.run(b_3_update_op, {b_3_update_placeholder:b3_zeros})
    
        epochs = 10
        repeats = 1

        for repeat in range(repeats):
            #tf.set_random_seed(l)
            print('Repeat:{}'.format(repeat))
            train_accuracies = []
            train_costs = []
            val_accuracies = []
            val_costs = []
            best_val = 0
            first_params_set = None
            last_params_set = None
            T1 = time.time()
            for i in range(epochs):
                if(i==0):
                    start_w2, start_b2 = w_2.eval(), b_2.eval()
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: len(train_images_set)})
                #@@print('Epoch:{}'.format((i)))
                t1 = time.time()

                ### CALCULATE TRAIN COSTS AND TRAIN ACCURACIES
                train_cost, train_accuracy = sess.run([cost, acct_res] ,feed_dict = {drop_out : 0.0, 
                                                                                     set1_mask:set_mask_val})
                train_costs.append(train_cost)
                train_accuracies.append(train_accuracy)
                #train_writer.add_summary(summary,logging_count)

                print('training cost:{} and training accuracy:{}'.format(train_costs[i], train_accuracies[i]))

                ### CALCULATE VALID COSTS AND VALID ACCURACIES
                sess.run(iter.initializer, feed_dict={a_1: valid_images_set, y: valid_labels_set,
                                                      batch_size: len(valid_images_set)})
                _, _, val_acc, val_cost, _ = sess.run([predictions,acct_mat,acct_res, cost, a_3],
                                                      feed_dict = {drop_out : 0.0,set1_mask:set_mask_val})
                val_costs.append(val_cost)
                val_accuracies.append(val_acc)

                if(val_acc>best_val):
                    best_val = val_acc
                    best_params_set1 = [(w_2.eval(),b_2.eval()),(w_3.eval(),b_3.eval())]
                print('validation cost:{} and validation accuracy:{}'.format(val_cost, val_acc))   
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: BATCH_SIZE})


                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                  batch_size: BATCH_SIZE})
                print('Training on :{}'.format(current_set))
                for j in range(n_batches):

                    if(not (np.isnan(w_2.eval().any() and np.isnan(w_3.eval()).any()))):
                        #if(a_set==1):
                        #    print(j, w_2.eval().sum(), w_3.eval().sum())
                        if(((j)% 1000 ==0)):
                            logging_count+=1
                            summary,_,_ = sess.run([merged,step, omega_step], 
                                                 feed_dict = {drop_out:0.0,batch_size: BATCH_SIZE,tau:0.5,
                                                              set1_mask:set_mask_val,eta:0.001,
                                                              lmbda:lmbdas[l],n_tot:train_total})
                            #train_writer.add_summary(summary, (i+1)*j)
                            train_writer.add_summary(summary, logging_count)
                        else:
                            sess.run([step, omega_step],feed_dict = {drop_out:0.0,batch_size:BATCH_SIZE,
                                                                     tau:0.5,set1_mask:set_mask_val,
                                                                     eta:0.001,lmbda:lmbdas[l],
                                                                     n_tot:train_total})
                    else:
                        print('Nan encountered in epoch:{} and batch:{}'.format(i, j))
                #@@print('Epoch time:{}'.format(time.time()-t1))


            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,final_test_acc,_ = sess.run([predictions, acct_res, a_3], 
                                                                  feed_dict = {drop_out:0.0, 
                                                                               set1_mask:set_mask_val})
            #@@print('Final test accuracy is:{}'.format(final_test_acc))
            end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
            #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
            #@@sess.run(update_star_wbs)
            sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
            sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
            
            
            #all_final_test_accs_set1.append(final_test_acc)


            #@@best_step = [tf.assign(w_2,best_params_set1[0][0]), tf.assign(b_2,best_params_set1[0][1]),
            #@@             tf.assign(w_3,best_params_set1[1][0]),tf.assign(b_3,best_params_set1[1][1])]
            #@@sess.run(best_step)
            
            sess.run(w_2_update_op, {w_2_update_placeholder:best_params_set1[0][0]})
            sess.run(b_2_update_op, {b_2_update_placeholder:best_params_set1[0][1]})
            
            sess.run(w_3_update_op, {w_3_update_placeholder:best_params_set1[1][0]})
            sess.run(b_3_update_op, {b_3_update_placeholder:best_params_set1[1][1]})
            
            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,test_acc_corresp_best_val,_ = sess.run([predictions, acct_res, a_3],
                                                     feed_dict = {drop_out:0.0,set1_mask:set_mask_val})

            #@@print('Test accuracy corresp to best val acc:{}'.format(test_acc_corresp_best_val))
            print('Time taken:{}'.format(time.time()-T1))
            #w3_list.append(w_3.eval())
            w3_accum.append(w_3.eval())
            #b3_list.append(b_3.eval())
            b3_accum.append(b_3.eval())
            if(i==epochs-1):
                if(test_acc_corresp_best_val>final_test_acc):
                    end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
                    #all_final_test_accs_set1[-1] = test_acc_corresp_best_val
                    #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
                    #@@sess.run(update_star_wbs)
                    
                    sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
                    sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
                    

                #@@best_step = [tf.assign(w_2,end_w2), tf.assign(b_2,end_b2),
                #@@         tf.assign(w_3,end_w3),tf.assign(b_3,end_b3)]
                #@@sess.run(best_step)
                
                
                sess.run(w_2_update_op, {w_2_update_placeholder:end_w2})
                sess.run(b_2_update_op, {b_2_update_placeholder:end_b2})
                
                sess.run(w_3_update_op, {w_3_update_placeholder:end_w3})
                sess.run(b_3_update_op, {b_3_update_placeholder:end_b3})

                first_params_set = [(start_w2, start_b2)]
                last_params_set = [(end_w2, end_b2)]

                small_omegas = [(w2_grad_accum.eval(),b2_grad_accum.eval())]

                delta_ws = map(lambda x,y: np.square(x-y)+zeta,[item[0] for item in last_params_set],
                           [item[0] for item in first_params_set])

                delta_bs = map(lambda x,y: np.square(x-y)+zeta,[item[1] for item in last_params_set],
                           [item[1] for item in first_params_set])
                delta_wbs = zip(delta_ws, delta_bs)

                big_omegas_ws = map(lambda x,y: (x/y),[item[0] for item in small_omegas],
                           [item[0] for item in delta_wbs])            
                big_omegas_bs = map(lambda x,y: (x/y),[item[1] for item in small_omegas],
                           [item[1] for item in delta_wbs])

                big_omegas = zip(big_omegas_ws, big_omegas_bs)
                new_big_omeg_w2 += big_omegas[0][0]
                new_big_omeg_b2 += big_omegas[0][1]
                #@@print('omegW2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_w2.max(),
                #@@                                                new_big_omeg_w2.mean(),
                #@@                                                new_big_omeg_w2.std()))
                #@@print('omegb2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_b2.max(),
                #@@                                                new_big_omeg_b2.mean(),
                #@@                                                new_big_omeg_b2.std()))

        historical_train_accuracies[current_set_name]=train_accuracies
        historical_train_costs[current_set_name]=train_costs
        historical_val_accuracies[current_set_name]=val_accuracies
        historical_val_costs[current_set_name]=val_costs
    
    #######Method 3 ###########
    w3_set_rows = []
    offset=0
    for item in w3_accum:
        w3_set_rows.append(item[:,offset:offset+2])
        offset+=2


    w3_set_row_avgs = [item.mean() for item in w3_set_rows]
    final_w3 = map(lambda x,y:x-y,w3_set_rows, w3_set_row_avgs)
    final_w3 = np.concatenate(final_w3, axis=1)

    b3_set_rows = []
    offset=0
    for item in b3_accum:
        b3_set_rows.append(item[:,offset:offset+2])
        offset+=2
    b3_set_row_avgs = [item.mean() for item in b3_set_rows]
    final_b3 = map(lambda x,y:x-y,b3_set_rows, b3_set_row_avgs)
    final_b3 = np.concatenate(final_b3, axis=1)

    #@@set_w3 = [tf.assign(w_3, final_w3), tf.assign(b_3, final_b3)]
    #@@sess.run(set_w3)
    sess.run(w_3_update_op, {w_3_update_placeholder:final_w3})
    sess.run(b_3_update_op, {b_3_update_placeholder:final_b3})

    sess.run(iter.initializer, feed_dict={a_1: test_images, y: to_categorical(test_labels,num_classes=num_classes),
                                                      batch_size: len(test_images)})
    _,final_test_acc,_ = sess.run([predictions, acct_res, a_3],
                                  feed_dict = {drop_out:0.0,set1_mask:set_mask_val})
    method3_test_accs.append(final_test_acc)
    print('Method 3 test accuracy:{}'.format(final_test_acc))
    
    
train_writer.close()
Training with lmbda:0, 0
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.0424780659378 and training accuracy:0.99514144659
validation cost:0.0425861291587 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0238319151103 and training accuracy:0.995575249195
validation cost:0.0244052931666 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0170864723623 and training accuracy:0.996703088284
validation cost:0.0173231437802 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0137033909559 and training accuracy:0.997136890888
validation cost:0.0140941208228 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0115019194782 and training accuracy:0.997657477856
validation cost:0.0115101812407 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0099402749911 and training accuracy:0.997744202614
validation cost:0.00971961114556 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00863864738494 and training accuracy:0.998004496098
validation cost:0.0086479568854 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00776934204623 and training accuracy:0.99809128046
validation cost:0.0084388460964 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00688597885892 and training accuracy:0.998178005219
validation cost:0.00751441437751 and validation accuracy:0.998244047165
Training on :(0, 1)
Time taken:127.73784399
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.168302044272 and training accuracy:0.950004518032
validation cost:0.169079318643 and validation accuracy:0.943014681339
Training on :(2, 3)
training cost:0.113371483982 and training accuracy:0.968548297882
validation cost:0.12098506093 and validation accuracy:0.962316155434
Training on :(2, 3)
training cost:0.0885975807905 and training accuracy:0.97309333086
validation cost:0.0926486998796 and validation accuracy:0.967830896378
Training on :(2, 3)
training cost:0.0738820210099 and training accuracy:0.974093258381
validation cost:0.0787701904774 and validation accuracy:0.96875
Training on :(2, 3)
training cost:0.0646886602044 and training accuracy:0.977183878422
validation cost:0.0672900676727 and validation accuracy:0.971507370472
Training on :(2, 3)
training cost:0.0566079691052 and training accuracy:0.9806381464
validation cost:0.0583092048764 and validation accuracy:0.976102948189
Training on :(2, 3)
training cost:0.0513964854181 and training accuracy:0.982819736004
validation cost:0.0509350299835 and validation accuracy:0.980698525906
Training on :(2, 3)
training cost:0.0464820750058 and training accuracy:0.985546767712
validation cost:0.0469166785479 and validation accuracy:0.984375
Training on :(2, 3)
training cost:0.0427470132709 and training accuracy:0.987273871899
validation cost:0.0414676591754 and validation accuracy:0.987132370472
Training on :(2, 3)
Time taken:121.860054016
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.0990518555045 and training accuracy:0.991609752178
validation cost:0.0925189256668 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0539999529719 and training accuracy:0.99287801981
validation cost:0.0477138087153 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0376890674233 and training accuracy:0.994829297066
validation cost:0.0302194636315 and validation accuracy:0.999012827873
Training on :(4, 5)
training cost:0.0290481522679 and training accuracy:0.99658536911
validation cost:0.0220831781626 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.023657489568 and training accuracy:0.997756123543
validation cost:0.0176057368517 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0198712404817 and training accuracy:0.998341441154
validation cost:0.0145276719704 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0169922467321 and training accuracy:0.998341441154
validation cost:0.0122214574367 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0153050273657 and training accuracy:0.998146355152
validation cost:0.011213125661 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0139560960233 and training accuracy:0.998243927956
validation cost:0.0100094126537 and validation accuracy:1.0
Training on :(4, 5)
Time taken:113.461678982
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(6, 7)
training cost:0.0636208951473 and training accuracy:0.991611778736
validation cost:0.0635736957192 and validation accuracy:0.989051103592
Training on :(6, 7)
training cost:0.0342947021127 and training accuracy:0.996843159199
validation cost:0.0337495431304 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0241673067212 and training accuracy:0.997745096684
validation cost:0.0247216559947 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0191191416234 and training accuracy:0.998015701771
validation cost:0.01931928657 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0155691420659 and training accuracy:0.998286306858
validation cost:0.0159959737211 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0129639329389 and training accuracy:0.9987372756
validation cost:0.0133697763085 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.011112768203 and training accuracy:0.998827457428
validation cost:0.0117992609739 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.00979762617499 and training accuracy:0.999007821083
validation cost:0.0101021369919 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.00877885892987 and training accuracy:0.999098062515
validation cost:0.00852270238101 and validation accuracy:0.999087572098
Training on :(6, 7)
Time taken:122.285975933
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.151477068663 and training accuracy:0.965170443058
validation cost:0.148457437754 and validation accuracy:0.964218437672
Training on :(8, 9)
training cost:0.103641562164 and training accuracy:0.972527444363
validation cost:0.103159971535 and validation accuracy:0.973634660244
Training on :(8, 9)
training cost:0.082123234868 and training accuracy:0.976066291332
validation cost:0.0786714181304 and validation accuracy:0.980225980282
Training on :(8, 9)
training cost:0.069301366806 and training accuracy:0.979791402817
validation cost:0.0627456903458 and validation accuracy:0.98399245739
Training on :(8, 9)
training cost:0.0595998130739 and training accuracy:0.982957720757
validation cost:0.0547399930656 and validation accuracy:0.987758934498
Training on :(8, 9)
training cost:0.0535054244101 and training accuracy:0.985285878181
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:75117.9714048, 1
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0427991561592 and training accuracy:0.987182974815
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Training on :(2, 3)
Time taken:121.72591114
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
training cost:0.0141787938774 and training accuracy:0.998146355152
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.78100001812
Training with lmbda:78039.2280196, 2
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:118.680134058
Method 3 test accuracy:0.780600011349
Training with lmbda:78417.6647421, 3
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:81959.2346273, 4
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:85612.9397687, 5
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:0, 12
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:121.710781813
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:118.179695845
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:121.74334693
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.794700026512
Training with lmbda:96119.403308, 22
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:97283.0488578, 23
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.787299990654
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:81959.2346273, 28
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:85612.9397687, 29
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:88585.1235448, 30
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:91768.7271182, 32
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:75117.9714048, 37
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.784699976444
Training with lmbda:78039.2280196, 38
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
Time taken:114.209671021
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:119.463370085
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Training with lmbda:85612.9397687, 41
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0416537225246 and training accuracy:0.987273871899
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Training on :(2, 3)
Time taken:122.11205101
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:122.699903011
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
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Valid features:(1062, 3630)
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Repeat:0
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.797299981117
Training with lmbda:88585.1235448, 42
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
training cost:0.00950783677399 and training accuracy:0.9987372756
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Training on :(6, 7)
Time taken:123.33345294
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:118.516840935
Method 3 test accuracy:0.797599971294
Training with lmbda:89377.3332357, 43
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
Time taken:114.064333916
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:118.64565587
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Training with lmbda:96119.403308, 46
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0414218306541 and training accuracy:0.987364768982
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Training on :(2, 3)
Time taken:122.351001024
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:123.158860922
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.797800004482
Training with lmbda:97283.0488578, 47
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
training cost:0.00955755356699 and training accuracy:0.9987372756
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Training on :(6, 7)
Time taken:123.123004913
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:118.707625151
Method 3 test accuracy:0.797599971294
Training with lmbda:0, 48
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
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Valid features:(1139, 3630)
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Repeat:0
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0443670004606 and training accuracy:0.986728489399
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Training on :(2, 3)
Time taken:121.898010015
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
training cost:0.0147315105423 and training accuracy:0.997463405132
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
training cost:0.00935703516006 and training accuracy:0.998827457428
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:119.118695021
Method 3 test accuracy:0.77840000391
Training with lmbda:75117.9714048, 49
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Train features:(11001, 3630)
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Valid features:(1088, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:121.522638798
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Repeat:0
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
Time taken:114.131256104
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:122.391678095
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.779500007629
Training with lmbda:78039.2280196, 50
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0444070138037 and training accuracy:0.986546695232
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Training on :(2, 3)
Time taken:121.856575966
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:89377.3332357, 55
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:122.729166031
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
training cost:0.0493482761085 and training accuracy:0.985844671726
validation cost:0.0467172339559 and validation accuracy:0.990583777428
Training on :(8, 9)
training cost:0.0452905148268 and training accuracy:0.987427830696
validation cost:0.044364284724 and validation accuracy:0.991525411606
Training on :(8, 9)
training cost:0.0418934859335 and training accuracy:0.988079726696
validation cost:0.0414292216301 and validation accuracy:0.990583777428
Training on :(8, 9)
Time taken:118.704811811
Method 3 test accuracy:0.778299987316
Training with lmbda:96119.403308, 58
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.0406066067517 and training accuracy:0.995314955711
validation cost:0.0420646257699 and validation accuracy:0.994732201099
Training on :(0, 1)
training cost:0.0230203382671 and training accuracy:0.995228171349
validation cost:0.0234451759607 and validation accuracy:0.994732201099
Training on :(0, 1)
training cost:0.0167031474411 and training accuracy:0.996703088284
validation cost:0.0187955778092 and validation accuracy:0.994732201099
Training on :(0, 1)
training cost:0.0130601068959 and training accuracy:0.997657477856
validation cost:0.0140707390383 and validation accuracy:0.996488153934
Training on :(0, 1)
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validation cost:0.0117450542748 and validation accuracy:0.997366130352
Training on :(0, 1)
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validation cost:0.0109322778881 and validation accuracy:0.996488153934
Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
training cost:0.00698435213417 and training accuracy:0.998004496098
validation cost:0.00852664839476 and validation accuracy:0.995610177517
Training on :(0, 1)
Time taken:127.823379993
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
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Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.171822085977 and training accuracy:0.947277545929
validation cost:0.173728704453 and validation accuracy:0.943014681339
Training on :(2, 3)
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validation cost:0.119566373527 and validation accuracy:0.963235318661
Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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validation cost:0.0662133023143 and validation accuracy:0.978860318661
Training on :(2, 3)
training cost:0.0578357726336 and training accuracy:0.9817289114
validation cost:0.0604565292597 and validation accuracy:0.979779422283
Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0445268563926 and training accuracy:0.986637592316
validation cost:0.0467901043594 and validation accuracy:0.986213207245
Training on :(2, 3)
Time taken:123.697251081
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.094264946878 and training accuracy:0.993463397026
validation cost:0.0832596197724 and validation accuracy:0.998025655746
Training on :(4, 5)
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Training on :(4, 5)
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validation cost:0.029695102945 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0290922615677 and training accuracy:0.996390223503
validation cost:0.0224809609354 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0242636781186 and training accuracy:0.996975600719
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Training on :(4, 5)
training cost:0.0209768936038 and training accuracy:0.997170746326
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Training on :(4, 5)
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Training on :(4, 5)
training cost:0.0164934676141 and training accuracy:0.997365832329
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Training on :(4, 5)
training cost:0.0152515480295 and training accuracy:0.99726831913
validation cost:0.00944033078849 and validation accuracy:1.0
Training on :(4, 5)
Time taken:117.82909894
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(6, 7)
training cost:0.0628843083978 and training accuracy:0.990800023079
validation cost:0.0634753778577 and validation accuracy:0.989963531494
Training on :(6, 7)
training cost:0.0347490236163 and training accuracy:0.996662735939
validation cost:0.0343970619142 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0248430240899 and training accuracy:0.997654914856
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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validation cost:0.0127968331799 and validation accuracy:0.996350347996
Training on :(6, 7)
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validation cost:0.011371685192 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0096881724894 and training accuracy:0.998827457428
validation cost:0.00962863955647 and validation accuracy:0.9981752038
Training on :(6, 7)
Time taken:123.12809515
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.151972144842 and training accuracy:0.966846704483
validation cost:0.148272261024 and validation accuracy:0.971751391888
Training on :(8, 9)
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validation cost:0.102365300059 and validation accuracy:0.976459503174
Training on :(8, 9)
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validation cost:0.0809552669525 and validation accuracy:0.980225980282
Training on :(8, 9)
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Training on :(8, 9)
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validation cost:0.0602674596012 and validation accuracy:0.985875725746
Training on :(8, 9)
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validation cost:0.0507925078273 and validation accuracy:0.98681730032
Training on :(8, 9)
training cost:0.0490598864853 and training accuracy:0.986124038696
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Training on :(8, 9)
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validation cost:0.0439847894013 and validation accuracy:0.991525411606
Training on :(8, 9)
training cost:0.0422667302191 and training accuracy:0.988172829151
validation cost:0.0411340594292 and validation accuracy:0.991525411606
Training on :(8, 9)
Time taken:118.883975029
Method 3 test accuracy:0.778100013733
Training with lmbda:97283.0488578, 59
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.0406066067517 and training accuracy:0.995314955711
validation cost:0.0420646257699 and validation accuracy:0.994732201099
Training on :(0, 1)
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validation cost:0.0234451759607 and validation accuracy:0.994732201099
Training on :(0, 1)
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Training on :(0, 1)
training cost:0.0130601068959 and training accuracy:0.997657477856
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Training on :(0, 1)
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validation cost:0.0117450542748 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.00962120573968 and training accuracy:0.99809128046
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Training on :(0, 1)
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validation cost:0.0101041002199 and validation accuracy:0.996488153934
Training on :(0, 1)
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Training on :(0, 1)
training cost:0.00698435213417 and training accuracy:0.998004496098
validation cost:0.00852664839476 and validation accuracy:0.995610177517
Training on :(0, 1)
Time taken:127.606486797
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.171822085977 and training accuracy:0.947277545929
validation cost:0.173728704453 and validation accuracy:0.943014681339
Training on :(2, 3)
training cost:0.115139655769 and training accuracy:0.968366503716
validation cost:0.119566373527 and validation accuracy:0.963235318661
Training on :(2, 3)
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validation cost:0.0962703675032 and validation accuracy:0.969669103622
Training on :(2, 3)
training cost:0.0761717632413 and training accuracy:0.975002288818
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Training on :(2, 3)
training cost:0.0650246366858 and training accuracy:0.979001879692
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Training on :(2, 3)
training cost:0.0578492619097 and training accuracy:0.981819808483
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Training on :(2, 3)
training cost:0.0522814691067 and training accuracy:0.984001457691
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Training on :(2, 3)
training cost:0.0477274730802 and training accuracy:0.985546767712
validation cost:0.0514613948762 and validation accuracy:0.983455896378
Training on :(2, 3)
training cost:0.0444001480937 and training accuracy:0.986455798149
validation cost:0.0476992577314 and validation accuracy:0.984375
Training on :(2, 3)
Time taken:121.938039064
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
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Training on :(4, 5)
training cost:0.094305306673 and training accuracy:0.993463397026
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Training on :(4, 5)
training cost:0.0534049868584 and training accuracy:0.993073165417
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Training on :(4, 5)
training cost:0.0379111245275 and training accuracy:0.994829297066
validation cost:0.0296794753522 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0290928892791 and training accuracy:0.996390223503
validation cost:0.0224305316806 and validation accuracy:1.0
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Training on :(4, 5)
training cost:0.0209446344525 and training accuracy:0.997170746326
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Training on :(4, 5)
training cost:0.0185519829392 and training accuracy:0.997365832329
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Training on :(4, 5)
training cost:0.0166618786752 and training accuracy:0.99726831913
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Training on :(4, 5)
training cost:0.0153496703133 and training accuracy:0.997170746326
validation cost:0.00945950765163 and validation accuracy:1.0
Training on :(4, 5)
Time taken:113.623682976
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
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Training on :(6, 7)
training cost:0.0627911537886 and training accuracy:0.990980446339
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Training on :(6, 7)
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Training on :(6, 7)
training cost:0.0247806087136 and training accuracy:0.997654914856
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Training on :(6, 7)
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validation cost:0.0206439364702 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.015999969095 and training accuracy:0.997654914856
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Training on :(6, 7)
training cost:0.0138052655384 and training accuracy:0.997925519943
validation cost:0.0140977259725 and validation accuracy:0.996350347996
Training on :(6, 7)
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validation cost:0.0127752469853 and validation accuracy:0.996350347996
Training on :(6, 7)
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Training on :(6, 7)
training cost:0.00967156887054 and training accuracy:0.998917639256
validation cost:0.00966014899313 and validation accuracy:0.9981752038
Training on :(6, 7)
Time taken:122.59633708
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.151787027717 and training accuracy:0.967126071453
validation cost:0.14776982367 and validation accuracy:0.972693026066
Training on :(8, 9)
training cost:0.103641495109 and training accuracy:0.971503078938
validation cost:0.103086791933 and validation accuracy:0.976459503174
Training on :(8, 9)
training cost:0.0821932405233 and training accuracy:0.975880026817
validation cost:0.0822192654014 and validation accuracy:0.97834277153
Training on :(8, 9)
training cost:0.0694462656975 and training accuracy:0.980350136757
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Training on :(8, 9)
training cost:0.0611344799399 and training accuracy:0.982864618301
validation cost:0.0598116703331 and validation accuracy:0.985875725746
Training on :(8, 9)
training cost:0.0539418645203 and training accuracy:0.984727144241
validation cost:0.0507767125964 and validation accuracy:0.987758934498
Training on :(8, 9)
training cost:0.049272030592 and training accuracy:0.985844671726
validation cost:0.0467891916633 and validation accuracy:0.990583777428
Training on :(8, 9)
training cost:0.0451683625579 and training accuracy:0.987520933151
validation cost:0.0441817715764 and validation accuracy:0.991525411606
Training on :(8, 9)
training cost:0.0422247238457 and training accuracy:0.988079726696
validation cost:0.0418000891805 and validation accuracy:0.990583777428
Training on :(8, 9)
Time taken:118.990875006
Method 3 test accuracy:0.778599977493

Final accuracies

In [16]:
final_test_acc = pd.DataFrame({'Method3':method3_test_accs, 'lambdas':lmbdas})
final_test_acc.to_csv('spike_sh_11lmbdas_ar1_3lyrs_he1_75_10.csv')
final_test_acc
Out[16]:
Method3 lambdas
0 0.7898 0.000000
1 0.7810 75117.971405
2 0.7806 78039.228020
3 0.7811 78417.664742
4 0.7802 81959.234627
5 0.7807 85612.939769
6 0.7799 88585.123545
7 0.7805 89377.333236
8 0.7806 91768.727118
9 0.7889 95646.318878
10 0.7802 96119.403308
11 0.7809 97283.048858
12 0.7927 0.000000
13 0.7939 75117.971405
14 0.7944 78039.228020
15 0.7942 78417.664742
16 0.7946 81959.234627
17 0.7946 85612.939769
18 0.7940 88585.123545
19 0.7942 89377.333236
20 0.7943 91768.727118
21 0.7947 95646.318878
22 0.7948 96119.403308
23 0.7952 97283.048858
24 0.7879 0.000000
25 0.7875 75117.971405
26 0.7873 78039.228020
27 0.7874 78417.664742
28 0.7878 81959.234627
29 0.7874 85612.939769
30 0.7871 88585.123545
31 0.7875 89377.333236
32 0.7876 91768.727118
33 0.7879 95646.318878
34 0.7879 96119.403308
35 0.7873 97283.048858
36 0.7893 0.000000
37 0.7847 75117.971405
38 0.7968 78039.228020
39 0.8064 78417.664742
40 0.7917 81959.234627
41 0.7973 85612.939769
42 0.7976 88585.123545
43 0.7969 89377.333236
44 0.7976 91768.727118
45 0.7896 95646.318878
46 0.7978 96119.403308
47 0.7976 97283.048858
48 0.7784 0.000000
49 0.7795 75117.971405
50 0.7784 78039.228020
51 0.7790 78417.664742
52 0.7786 81959.234627
53 0.7789 85612.939769
54 0.7789 88585.123545
55 0.7783 89377.333236
56 0.7782 91768.727118
57 0.7783 95646.318878
58 0.7781 96119.403308
59 0.7786 97283.048858

Groupby $\lambda$s

In [17]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
mean_acc_grouped_by_lmbda = acc_grouped_by_lmbda.mean()
display(mean_acc_grouped_by_lmbda)
Method3
lambdas
0.000000 0.78762
75117.971405 0.78532
78039.228020 0.78750
78417.664742 0.78962
81959.234627 0.78658
85612.939769 0.78778
88585.123545 0.78750
89377.333236 0.78748
91768.727118 0.78766
95646.318878 0.78788
96119.403308 0.78776
97283.048858 0.78792
In [18]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
std_acc_grouped_by_lmbda = acc_grouped_by_lmbda.std()
display(std_acc_grouped_by_lmbda)
Method3
lambdas
0.000000 0.005442
75117.971405 0.005729
78039.228020 0.008133
78417.664742 0.011100
81959.234627 0.007007
85612.939769 0.008159
88585.123545 0.008309
89377.333236 0.008168
91768.727118 0.008400
95646.318878 0.005964
96119.403308 0.008673
97283.048858 0.008415
In [19]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
max_acc_grouped_by_lmbda = acc_grouped_by_lmbda.max()
display(max_acc_grouped_by_lmbda)
Method3
lambdas
0.000000 0.7927
75117.971405 0.7939
78039.228020 0.7968
78417.664742 0.8064
81959.234627 0.7946
85612.939769 0.7973
88585.123545 0.7976
89377.333236 0.7969
91768.727118 0.7976
95646.318878 0.7947
96119.403308 0.7978
97283.048858 0.7976

Plots

In [20]:
mpl.rcParams['figure.figsize'] = 7,4.5
mpl.rcParams['axes.labelsize'] = 12
mpl.rcParams['lines.linewidth'] = 1.5
mpl.rcParams['lines.markersize'] = 8
mpl.rcParams['xtick.labelsize'] = 13
mpl.rcParams['ytick.labelsize'] = 12
mpl.rcParams['legend.fontsize'] = 12

mean_acc_grouped_by_lmbda.plot(y='Method3')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.show()
In [21]:
mpl.rcParams['figure.figsize'] = 7,4.5
mpl.rcParams['axes.labelsize'] = 12
mpl.rcParams['lines.linewidth'] = 1.5
mpl.rcParams['lines.markersize'] = 8
mpl.rcParams['xtick.labelsize'] = 13
mpl.rcParams['ytick.labelsize'] = 12
mpl.rcParams['legend.fontsize'] = 12

max_acc_grouped_by_lmbda.plot(y='Method3')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.show()

Init the writer with $\lambda$s (7.5, 8.75)

In [9]:
path = '/home/ruthvik/Desktop/Summer 2017/tf_graph_outputs/mnist/continual_learning/original_mnist_5sets'
merged = tf.summary.merge_all()
train_writer = tf.summary.FileWriter(path + '/spike_sh_11lmbdas_ar1_3lyrs_he1_75_875', sess.graph)

Generate $\lambda$s

In [10]:
np.random.seed(100)
n_lmbdas = 11
a = np.random.uniform(low=7.5, high=8.75, size=(n_lmbdas,))
print(a)
print()
a = a*1.0e4
a = a[np.argsort(a)]
print(a)
print()
n_reps = 5
a = ([0]+a.tolist())*n_reps
n_lmbdas+=1
print(a, len(a))
[8.17925618 7.84796173 8.03064699 8.55597017 7.50589857 7.6519614
 8.33843636 8.53231594 7.67088324 8.21886666 8.61415244]
()
[75058.98570239 76519.61400979 76708.83237106 78479.61731367
 80306.46988436 81792.56177239 82188.66661784 83384.36355908
 85323.15943881 85559.701654   86141.5244289 ]
()
([0, 75058.98570238716, 76519.61400978893, 76708.83237106192, 78479.61731367245, 80306.46988436417, 81792.56177238707, 82188.66661784063, 83384.36355908474, 85323.15943881309, 85559.7016539988, 86141.5244289033, 0, 75058.98570238716, 76519.61400978893, 76708.83237106192, 78479.61731367245, 80306.46988436417, 81792.56177238707, 82188.66661784063, 83384.36355908474, 85323.15943881309, 85559.7016539988, 86141.5244289033, 0, 75058.98570238716, 76519.61400978893, 76708.83237106192, 78479.61731367245, 80306.46988436417, 81792.56177238707, 82188.66661784063, 83384.36355908474, 85323.15943881309, 85559.7016539988, 86141.5244289033, 0, 75058.98570238716, 76519.61400978893, 76708.83237106192, 78479.61731367245, 80306.46988436417, 81792.56177238707, 82188.66661784063, 83384.36355908474, 85323.15943881309, 85559.7016539988, 86141.5244289033, 0, 75058.98570238716, 76519.61400978893, 76708.83237106192, 78479.61731367245, 80306.46988436417, 81792.56177238707, 82188.66661784063, 83384.36355908474, 85323.15943881309, 85559.7016539988, 86141.5244289033], 60)

Generate random weights

In [11]:
lmbdas = a
np.random.seed(0)
np_weights = []
low = -np.sqrt(2.0/(n_input)) # use 4 for sigmoid, 1 for tanh activation 
high = np.sqrt(2.0/(n_input))
for i in range(n_reps):
    np_weights.append(np.random.uniform(low=low,high=high,size=(n_input,n_middle)))

np_weights=[item for item in np_weights for i in range(n_lmbdas)]
print(len(np_weights), len(lmbdas))
(60, 60)
In [12]:
np.array_equal(np_weights[0], np_weights[11])
Out[12]:
True
In [13]:
np.array_equal(np_weights[0], np_weights[12])
Out[13]:
False

Commence training

In [14]:
START_TIME = time.time()
method3_test_accs = []
#INITIALIZE THE NETWORK
logging_count = 0
sess.run(init_op,options=run_options, run_metadata=run_metadata)
sess.graph.finalize()
for l in range(len(lmbdas)):
    print('Training with lmbda:{}, {}'.format(lmbdas[l], l))
    #sess.run(init_op,options=run_options, run_metadata=run_metadata)
    zeta = 1e-3
    new_big_omeg_w2 = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    new_big_omeg_b2 = np.zeros(shape=[1,n_middle], dtype=np.float32)
    w3_zeros = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    b3_zeros = np.zeros(shape=[1,n_out], dtype=np.float32)
    w3_accum = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    w3_accum = []
    b3_accum = np.zeros(shape=[1,n_out], dtype=np.float32)
    b3_accum = []
    reset_w2_grad_accum = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    reset_b2_grad_accum = np.zeros(shape=[1,n_middle], dtype=np.float32)

    start_w2 = None
    start_b2 = None
    sess.run(w_2_update_op, {w_2_update_placeholder:np_weights[l]})
    sess.run(b_2_update_op, {b_2_update_placeholder:np.zeros(shape=[1,n_middle],dtype=np.float32)})
    end_w2 = None
    end_b2 = None

    old_test_data = []
    historical_cross_test_acc = {}
    historical_train_accuracies = {}
    historical_train_costs = {}
    historical_val_accuracies = {}
    historical_val_costs = {}
    sets = [(0,1), (2,3), (4,5), (6,7), (8,9)]
    #sets = [(0,4),(5,9)]
    test_labels_set = []
    
    n_test_samples = []
    for a_set in range(len(sets)):
        current_set = sets[a_set]
        current_set_name = 'set'+str(a_set)
        mask_val = [0]*num_classes
        for i in range(0, current_set[1]+1):
            mask_val[i]=1
        set_mask_val = np.array(mask_val, dtype=np.float32)
        print('Current mask:{}'.format(set_mask_val))
        train_data_set, valid_data_set, test_data_set = extract_class_data(start=current_set[0],
                                                                      stop=current_set[1])
        train_images_set, train_labels_set = train_data_set[0], train_data_set[1]
        valid_images_set, valid_labels_set = valid_data_set[0], valid_data_set[1]
        test_images_set, test_labels_set = test_data_set[0], test_data_set[1]
        n_test_samples.append(len(test_labels_set))
        train_total = len(train_images_set)
        n_batches = len(train_images_set)/BATCH_SIZE
        #@@print('Number of batches:{}'.format(n_batches))


        #@@set_omegas = [tf.assign(big_omeg_w2, new_big_omeg_w2), tf.assign(big_omeg_b2, new_big_omeg_b2)]
        #@@sess.run(set_omegas)
        
        sess.run(big_omeg_w2_update_op, {big_omeg_w2_update_placeholder:new_big_omeg_w2})
        sess.run(big_omeg_b2_update_op, {big_omeg_b2_update_placeholder:new_big_omeg_b2})

        #@@reset_grad_accums = [tf.assign(w2_grad_accum, reset_w2_grad_accum),
        #@@                     tf.assign(b2_grad_accum, reset_b2_grad_accum)]
        #@@sess.run(reset_grad_accums)
        
        sess.run(w2_grad_accum_update_op, {w2_grad_accum_update_placeholder:reset_w2_grad_accum})
        sess.run(b2_grad_accum_update_op, {b2_grad_accum_update_placeholder:reset_b2_grad_accum})

        
        #@@reset_w3 = [tf.assign(w_3, w3_zeros), tf.assign(b_3, b3_zeros)]
        #@@sess.run(reset_w3)
        sess.run(w_3_update_op, {w_3_update_placeholder:w3_zeros})
        sess.run(b_3_update_op, {b_3_update_placeholder:b3_zeros})
    
        epochs = 10
        repeats = 1

        for repeat in range(repeats):
            #tf.set_random_seed(l)
            print('Repeat:{}'.format(repeat))
            train_accuracies = []
            train_costs = []
            val_accuracies = []
            val_costs = []
            best_val = 0
            first_params_set = None
            last_params_set = None
            T1 = time.time()
            for i in range(epochs):
                if(i==0):
                    start_w2, start_b2 = w_2.eval(), b_2.eval()
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: len(train_images_set)})
                #@@print('Epoch:{}'.format((i)))
                t1 = time.time()

                ### CALCULATE TRAIN COSTS AND TRAIN ACCURACIES
                train_cost, train_accuracy = sess.run([cost, acct_res] ,feed_dict = {drop_out : 0.0, 
                                                                                     set1_mask:set_mask_val})
                train_costs.append(train_cost)
                train_accuracies.append(train_accuracy)
                #train_writer.add_summary(summary,logging_count)

                print('training cost:{} and training accuracy:{}'.format(train_costs[i], train_accuracies[i]))

                ### CALCULATE VALID COSTS AND VALID ACCURACIES
                sess.run(iter.initializer, feed_dict={a_1: valid_images_set, y: valid_labels_set,
                                                      batch_size: len(valid_images_set)})
                _, _, val_acc, val_cost, _ = sess.run([predictions,acct_mat,acct_res, cost, a_3],
                                                      feed_dict = {drop_out : 0.0,set1_mask:set_mask_val})
                val_costs.append(val_cost)
                val_accuracies.append(val_acc)

                if(val_acc>best_val):
                    best_val = val_acc
                    best_params_set1 = [(w_2.eval(),b_2.eval()),(w_3.eval(),b_3.eval())]
                print('validation cost:{} and validation accuracy:{}'.format(val_cost, val_acc))   
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: BATCH_SIZE})


                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                  batch_size: BATCH_SIZE})
                print('Training on :{}'.format(current_set))
                for j in range(n_batches):

                    if(not (np.isnan(w_2.eval().any() and np.isnan(w_3.eval()).any()))):
                        #if(a_set==1):
                        #    print(j, w_2.eval().sum(), w_3.eval().sum())
                        if(((j)% 1000 ==0)):
                            logging_count+=1
                            summary,_,_ = sess.run([merged,step, omega_step], 
                                                 feed_dict = {drop_out:0.0,batch_size: BATCH_SIZE,tau:0.5,
                                                              set1_mask:set_mask_val,eta:0.001,
                                                              lmbda:lmbdas[l],n_tot:train_total})
                            #train_writer.add_summary(summary, (i+1)*j)
                            train_writer.add_summary(summary, logging_count)
                        else:
                            sess.run([step, omega_step],feed_dict = {drop_out:0.0,batch_size:BATCH_SIZE,
                                                                     tau:0.5,set1_mask:set_mask_val,
                                                                     eta:0.001,lmbda:lmbdas[l],
                                                                     n_tot:train_total})
                    else:
                        print('Nan encountered in epoch:{} and batch:{}'.format(i, j))
                #@@print('Epoch time:{}'.format(time.time()-t1))


            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,final_test_acc,_ = sess.run([predictions, acct_res, a_3], 
                                                                  feed_dict = {drop_out:0.0, 
                                                                               set1_mask:set_mask_val})
            #@@print('Final test accuracy is:{}'.format(final_test_acc))
            end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
            #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
            #@@sess.run(update_star_wbs)
            sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
            sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
            
            
            #all_final_test_accs_set1.append(final_test_acc)


            #@@best_step = [tf.assign(w_2,best_params_set1[0][0]), tf.assign(b_2,best_params_set1[0][1]),
            #@@             tf.assign(w_3,best_params_set1[1][0]),tf.assign(b_3,best_params_set1[1][1])]
            #@@sess.run(best_step)
            
            sess.run(w_2_update_op, {w_2_update_placeholder:best_params_set1[0][0]})
            sess.run(b_2_update_op, {b_2_update_placeholder:best_params_set1[0][1]})
            
            sess.run(w_3_update_op, {w_3_update_placeholder:best_params_set1[1][0]})
            sess.run(b_3_update_op, {b_3_update_placeholder:best_params_set1[1][1]})
            
            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,test_acc_corresp_best_val,_ = sess.run([predictions, acct_res, a_3],
                                                     feed_dict = {drop_out:0.0,set1_mask:set_mask_val})

            #@@print('Test accuracy corresp to best val acc:{}'.format(test_acc_corresp_best_val))
            print('Time taken:{}'.format(time.time()-T1))
            #w3_list.append(w_3.eval())
            w3_accum.append(w_3.eval())
            #b3_list.append(b_3.eval())
            b3_accum.append(b_3.eval())
            if(i==epochs-1):
                if(test_acc_corresp_best_val>final_test_acc):
                    end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
                    #all_final_test_accs_set1[-1] = test_acc_corresp_best_val
                    #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
                    #@@sess.run(update_star_wbs)
                    
                    sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
                    sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
                    

                #@@best_step = [tf.assign(w_2,end_w2), tf.assign(b_2,end_b2),
                #@@         tf.assign(w_3,end_w3),tf.assign(b_3,end_b3)]
                #@@sess.run(best_step)
                
                
                sess.run(w_2_update_op, {w_2_update_placeholder:end_w2})
                sess.run(b_2_update_op, {b_2_update_placeholder:end_b2})
                
                sess.run(w_3_update_op, {w_3_update_placeholder:end_w3})
                sess.run(b_3_update_op, {b_3_update_placeholder:end_b3})

                first_params_set = [(start_w2, start_b2)]
                last_params_set = [(end_w2, end_b2)]

                small_omegas = [(w2_grad_accum.eval(),b2_grad_accum.eval())]

                delta_ws = map(lambda x,y: np.square(x-y)+zeta,[item[0] for item in last_params_set],
                           [item[0] for item in first_params_set])

                delta_bs = map(lambda x,y: np.square(x-y)+zeta,[item[1] for item in last_params_set],
                           [item[1] for item in first_params_set])
                delta_wbs = zip(delta_ws, delta_bs)

                big_omegas_ws = map(lambda x,y: (x/y),[item[0] for item in small_omegas],
                           [item[0] for item in delta_wbs])            
                big_omegas_bs = map(lambda x,y: (x/y),[item[1] for item in small_omegas],
                           [item[1] for item in delta_wbs])

                big_omegas = zip(big_omegas_ws, big_omegas_bs)
                new_big_omeg_w2 += big_omegas[0][0]
                new_big_omeg_b2 += big_omegas[0][1]
                #@@print('omegW2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_w2.max(),
                #@@                                                new_big_omeg_w2.mean(),
                #@@                                                new_big_omeg_w2.std()))
                #@@print('omegb2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_b2.max(),
                #@@                                                new_big_omeg_b2.mean(),
                #@@                                                new_big_omeg_b2.std()))

        historical_train_accuracies[current_set_name]=train_accuracies
        historical_train_costs[current_set_name]=train_costs
        historical_val_accuracies[current_set_name]=val_accuracies
        historical_val_costs[current_set_name]=val_costs
    
    #######Method 3 ###########
    w3_set_rows = []
    offset=0
    for item in w3_accum:
        w3_set_rows.append(item[:,offset:offset+2])
        offset+=2


    w3_set_row_avgs = [item.mean() for item in w3_set_rows]
    final_w3 = map(lambda x,y:x-y,w3_set_rows, w3_set_row_avgs)
    final_w3 = np.concatenate(final_w3, axis=1)

    b3_set_rows = []
    offset=0
    for item in b3_accum:
        b3_set_rows.append(item[:,offset:offset+2])
        offset+=2
    b3_set_row_avgs = [item.mean() for item in b3_set_rows]
    final_b3 = map(lambda x,y:x-y,b3_set_rows, b3_set_row_avgs)
    final_b3 = np.concatenate(final_b3, axis=1)

    #@@set_w3 = [tf.assign(w_3, final_w3), tf.assign(b_3, final_b3)]
    #@@sess.run(set_w3)
    sess.run(w_3_update_op, {w_3_update_placeholder:final_w3})
    sess.run(b_3_update_op, {b_3_update_placeholder:final_b3})

    sess.run(iter.initializer, feed_dict={a_1: test_images, y: to_categorical(test_labels,num_classes=num_classes),
                                                      batch_size: len(test_images)})
    _,final_test_acc,_ = sess.run([predictions, acct_res, a_3],
                                  feed_dict = {drop_out:0.0,set1_mask:set_mask_val})
    method3_test_accs.append(final_test_acc)
    print('Method 3 test accuracy:{}'.format(final_test_acc))
    
    
train_writer.close()
print('Total time:{}'.format(time.time()-START_TIME))
Training with lmbda:0, 0
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.0424780659378 and training accuracy:0.99514144659
validation cost:0.0425861291587 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0238319151103 and training accuracy:0.995575249195
validation cost:0.0244052931666 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0170864723623 and training accuracy:0.996703088284
validation cost:0.0173231437802 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0137033909559 and training accuracy:0.997136890888
validation cost:0.0140941208228 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0115019194782 and training accuracy:0.997657477856
validation cost:0.0115101812407 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0099402749911 and training accuracy:0.997744202614
validation cost:0.00971961114556 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00863864738494 and training accuracy:0.998004496098
validation cost:0.0086479568854 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00776934204623 and training accuracy:0.99809128046
validation cost:0.0084388460964 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00688597885892 and training accuracy:0.998178005219
validation cost:0.00751441437751 and validation accuracy:0.998244047165
Training on :(0, 1)
Time taken:128.599272013
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.168302044272 and training accuracy:0.950004518032
validation cost:0.169079318643 and validation accuracy:0.943014681339
Training on :(2, 3)
training cost:0.113371483982 and training accuracy:0.968548297882
validation cost:0.12098506093 and validation accuracy:0.962316155434
Training on :(2, 3)
training cost:0.0885975807905 and training accuracy:0.97309333086
validation cost:0.0926486998796 and validation accuracy:0.967830896378
Training on :(2, 3)
training cost:0.0738820210099 and training accuracy:0.974093258381
validation cost:0.0787701904774 and validation accuracy:0.96875
Training on :(2, 3)
training cost:0.0646886602044 and training accuracy:0.977183878422
validation cost:0.0672900676727 and validation accuracy:0.971507370472
Training on :(2, 3)
training cost:0.0566079691052 and training accuracy:0.9806381464
validation cost:0.0583092048764 and validation accuracy:0.976102948189
Training on :(2, 3)
training cost:0.0513964854181 and training accuracy:0.982819736004
validation cost:0.0509350299835 and validation accuracy:0.980698525906
Training on :(2, 3)
training cost:0.0464820750058 and training accuracy:0.985546767712
validation cost:0.0469166785479 and validation accuracy:0.984375
Training on :(2, 3)
training cost:0.0427470132709 and training accuracy:0.987273871899
validation cost:0.0414676591754 and validation accuracy:0.987132370472
Training on :(2, 3)
Time taken:122.965579033
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.780799984932
Training with lmbda:78479.6173137, 4
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:80306.4698844, 5
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:123.674444914
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:81792.5617724, 6
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:82188.6666178, 7
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
training cost:0.00905484519899 and training accuracy:0.999098062515
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Training on :(6, 7)
Time taken:124.624567986
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:0, 12
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:124.045629025
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:125.12041688
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0443650297821 and training accuracy:0.987364768982
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Training on :(2, 3)
Time taken:123.889887094
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.794099986553
Training with lmbda:82188.6666178, 19
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.793399989605
Training with lmbda:83384.3635591, 20
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:133.731517076
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.787800014019
Training with lmbda:80306.4698844, 29
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.787000000477
Training with lmbda:81792.5617724, 30
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:82188.6666178, 43
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:123.949027061
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.797399997711
Training with lmbda:83384.3635591, 44
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:124.347377062
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:120.380017996
Method 3 test accuracy:0.797299981117
Training with lmbda:85323.1594388, 45
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
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Valid features:(1139, 3630)
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Repeat:0
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.041636813432 and training accuracy:0.987273871899
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Training on :(2, 3)
Time taken:123.463917017
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
training cost:0.00946891028434 and training accuracy:0.998827457428
validation cost:0.0098473560065 and validation accuracy:0.999087572098
Training on :(6, 7)
Time taken:124.556814194
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:120.723189116
Method 3 test accuracy:0.793399989605
Training with lmbda:85559.701654, 46
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
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Valid features:(1139, 3630)
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Repeat:0
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
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Valid features:(1088, 3630)
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Repeat:0
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.041636813432 and training accuracy:0.987273871899
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Training on :(2, 3)
Time taken:123.781227112
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
Time taken:115.807424068
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:124.94560504
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
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Valid features:(1062, 3630)
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Repeat:0
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.79699999094
Training with lmbda:86141.5244289, 47
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Valid features:(1088, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0417056828737 and training accuracy:0.987092077732
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Training on :(2, 3)
Time taken:123.883110046
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:81792.5617724, 54
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:83384.3635591, 56
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:85323.1594388, 57
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:123.177412033
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:86141.5244289, 59
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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validation cost:0.0817646235228 and validation accuracy:0.980225980282
Training on :(8, 9)
training cost:0.0691960677505 and training accuracy:0.980629563332
validation cost:0.0685686245561 and validation accuracy:0.98399245739
Training on :(8, 9)
training cost:0.0609834827483 and training accuracy:0.982864618301
validation cost:0.0602100081742 and validation accuracy:0.985875725746
Training on :(8, 9)
training cost:0.0539142228663 and training accuracy:0.984820246696
validation cost:0.0506231710315 and validation accuracy:0.987758934498
Training on :(8, 9)
training cost:0.04902433604 and training accuracy:0.986124038696
validation cost:0.0464851371944 and validation accuracy:0.990583777428
Training on :(8, 9)
training cost:0.0448661670089 and training accuracy:0.987707197666
validation cost:0.0432286076248 and validation accuracy:0.992467045784
Training on :(8, 9)
training cost:0.0424690172076 and training accuracy:0.988079726696
validation cost:0.0415023565292 and validation accuracy:0.990583777428
Training on :(8, 9)
Time taken:128.892805099
Method 3 test accuracy:0.778500020504
Total time:37096.9317429

Final accuracies

In [15]:
final_test_acc = pd.DataFrame({'Method3':method3_test_accs, 'lambdas':lmbdas})
final_test_acc.to_csv('spike_sh_11lmbdas_ar1_3lyrs_he1_75_875.csv')
final_test_acc
Out[15]:
Method3 lambdas
0 0.7898 0.000000
1 0.7811 75058.985702
2 0.7808 76519.614010
3 0.7808 76708.832371
4 0.7806 78479.617314
5 0.7808 80306.469884
6 0.7802 81792.561772
7 0.7805 82188.666618
8 0.7808 83384.363559
9 0.7886 85323.159439
10 0.7805 85559.701654
11 0.7806 86141.524429
12 0.7927 0.000000
13 0.7939 75058.985702
14 0.7936 76519.614010
15 0.7943 76708.832371
16 0.7937 78479.617314
17 0.7936 80306.469884
18 0.7941 81792.561772
19 0.7934 82188.666618
20 0.7936 83384.363559
21 0.7931 85323.159439
22 0.7933 85559.701654
23 0.7943 86141.524429
24 0.7879 0.000000
25 0.7868 75058.985702
26 0.7875 76519.614010
27 0.7874 76708.832371
28 0.7878 78479.617314
29 0.7870 80306.469884
30 0.7882 81792.561772
31 0.7877 82188.666618
32 0.7872 83384.363559
33 0.7876 85323.159439
34 0.7874 85559.701654
35 0.7877 86141.524429
36 0.7893 0.000000
37 0.7850 75058.985702
38 0.7904 76519.614010
39 0.7901 76708.832371
40 0.8039 78479.617314
41 0.7897 80306.469884
42 0.7971 81792.561772
43 0.7974 82188.666618
44 0.7973 83384.363559
45 0.7934 85323.159439
46 0.7970 85559.701654
47 0.7966 86141.524429
48 0.7784 0.000000
49 0.7793 75058.985702
50 0.7790 76519.614010
51 0.7790 76708.832371
52 0.7792 78479.617314
53 0.7793 80306.469884
54 0.7793 81792.561772
55 0.7788 82188.666618
56 0.7785 83384.363559
57 0.7786 85323.159439
58 0.7788 85559.701654
59 0.7785 86141.524429

Groupby $\lambda$s

In [16]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
mean_acc_grouped_by_lmbda = acc_grouped_by_lmbda.mean()
display(mean_acc_grouped_by_lmbda)
Method3
lambdas
0.000000 0.78762
75058.985702 0.78522
76519.614010 0.78626
76708.832371 0.78632
78479.617314 0.78904
80306.469884 0.78608
81792.561772 0.78778
82188.666618 0.78756
83384.363559 0.78748
85323.159439 0.78826
85559.701654 0.78740
86141.524429 0.78754
In [17]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
std_acc_grouped_by_lmbda = acc_grouped_by_lmbda.std()
display(std_acc_grouped_by_lmbda)
Method3
lambdas
0.000000 0.005442
75058.985702 0.005699
76519.614010 0.006226
76708.832371 0.006387
78479.617314 0.010151
80306.469884 0.006007
81792.561772 0.008005
82188.666618 0.008024
83384.363559 0.008050
85323.159439 0.005994
85559.701654 0.007883
86141.524429 0.008026
In [18]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
max_acc_grouped_by_lmbda = acc_grouped_by_lmbda.max()
display(max_acc_grouped_by_lmbda)
Method3
lambdas
0.000000 0.7927
75058.985702 0.7939
76519.614010 0.7936
76708.832371 0.7943
78479.617314 0.8039
80306.469884 0.7936
81792.561772 0.7971
82188.666618 0.7974
83384.363559 0.7973
85323.159439 0.7934
85559.701654 0.7970
86141.524429 0.7966

Plots

In [19]:
mpl.rcParams['figure.figsize'] = 7,4.5
mpl.rcParams['axes.labelsize'] = 12
mpl.rcParams['lines.linewidth'] = 1.5
mpl.rcParams['lines.markersize'] = 8
mpl.rcParams['xtick.labelsize'] = 13
mpl.rcParams['ytick.labelsize'] = 12
mpl.rcParams['legend.fontsize'] = 12

mean_acc_grouped_by_lmbda.plot(y='Method3')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.show()
In [20]:
mpl.rcParams['figure.figsize'] = 7,4.5
mpl.rcParams['axes.labelsize'] = 12
mpl.rcParams['lines.linewidth'] = 1.5
mpl.rcParams['lines.markersize'] = 8
mpl.rcParams['xtick.labelsize'] = 13
mpl.rcParams['ytick.labelsize'] = 12
mpl.rcParams['legend.fontsize'] = 12

max_acc_grouped_by_lmbda.plot(y='Method3')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.show()

Init the writer with $\lambda$s (7.5, 8.0)

In [9]:
path = '/home/ruthvik/Desktop/Summer 2017/tf_graph_outputs/mnist/continual_learning/original_mnist_5sets'
merged = tf.summary.merge_all()
train_writer = tf.summary.FileWriter(path + '/spike_sh_8lmbdas_ar1_3lyrs_he1_75_80', sess.graph)

Generate the $\lambda$s

In [10]:
np.random.seed(100)
n_lmbdas = 8
a = np.random.uniform(low=7.5, high=8.0, size=(n_lmbdas,))
print(a)
print()
a = a*1.0e4
a = a[np.argsort(a)]
print(a)
print()
n_reps = 10
a = ([0]+a.tolist())*n_reps
n_lmbdas+=1
print(a, len(a))
[7.77170247 7.63918469 7.7122588  7.92238807 7.50235943 7.56078456
 7.83537454 7.91292638]
()
[75023.59428095 75607.84560392 76391.84692547 77122.58795375
 77717.02470895 78353.74542363 79129.26377553 79223.8806616 ]
()
([0, 75023.59428095486, 75607.84560391557, 76391.84692546898, 77122.58795374566, 77717.02470895484, 78353.7454236339, 79129.26377552524, 79223.88066159951, 0, 75023.59428095486, 75607.84560391557, 76391.84692546898, 77122.58795374566, 77717.02470895484, 78353.7454236339, 79129.26377552524, 79223.88066159951, 0, 75023.59428095486, 75607.84560391557, 76391.84692546898, 77122.58795374566, 77717.02470895484, 78353.7454236339, 79129.26377552524, 79223.88066159951, 0, 75023.59428095486, 75607.84560391557, 76391.84692546898, 77122.58795374566, 77717.02470895484, 78353.7454236339, 79129.26377552524, 79223.88066159951, 0, 75023.59428095486, 75607.84560391557, 76391.84692546898, 77122.58795374566, 77717.02470895484, 78353.7454236339, 79129.26377552524, 79223.88066159951, 0, 75023.59428095486, 75607.84560391557, 76391.84692546898, 77122.58795374566, 77717.02470895484, 78353.7454236339, 79129.26377552524, 79223.88066159951, 0, 75023.59428095486, 75607.84560391557, 76391.84692546898, 77122.58795374566, 77717.02470895484, 78353.7454236339, 79129.26377552524, 79223.88066159951, 0, 75023.59428095486, 75607.84560391557, 76391.84692546898, 77122.58795374566, 77717.02470895484, 78353.7454236339, 79129.26377552524, 79223.88066159951, 0, 75023.59428095486, 75607.84560391557, 76391.84692546898, 77122.58795374566, 77717.02470895484, 78353.7454236339, 79129.26377552524, 79223.88066159951, 0, 75023.59428095486, 75607.84560391557, 76391.84692546898, 77122.58795374566, 77717.02470895484, 78353.7454236339, 79129.26377552524, 79223.88066159951], 90)

Generate the random weights

In [11]:
lmbdas = a
np.random.seed(0)
np_weights = []
low = -np.sqrt(2.0/(n_input)) # use 4 for sigmoid, 1 for tanh activation 
high = np.sqrt(2.0/(n_input))
for i in range(n_reps):
    np_weights.append(np.random.uniform(low=low,high=high,size=(n_input,n_middle)))

np_weights=[item for item in np_weights for i in range(n_lmbdas)]
print(len(np_weights), len(lmbdas))
(90, 90)
In [12]:
np.array_equal(np_weights[0], np_weights[8])
Out[12]:
True
In [13]:
np.array_equal(np_weights[0], np_weights[9])
Out[13]:
False

Commence the training

In [14]:
START_TIME = time.time()
method3_test_accs = []
#INITIALIZE THE NETWORK
logging_count = 0
sess.run(init_op,options=run_options, run_metadata=run_metadata)
sess.graph.finalize()
for l in range(len(lmbdas)):
    print('Training with lmbda:{}, {}'.format(lmbdas[l], l))
    #sess.run(init_op,options=run_options, run_metadata=run_metadata)
    zeta = 1e-3
    new_big_omeg_w2 = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    new_big_omeg_b2 = np.zeros(shape=[1,n_middle], dtype=np.float32)
    w3_zeros = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    b3_zeros = np.zeros(shape=[1,n_out], dtype=np.float32)
    w3_accum = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    w3_accum = []
    b3_accum = np.zeros(shape=[1,n_out], dtype=np.float32)
    b3_accum = []
    reset_w2_grad_accum = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    reset_b2_grad_accum = np.zeros(shape=[1,n_middle], dtype=np.float32)

    start_w2 = None
    start_b2 = None
    sess.run(w_2_update_op, {w_2_update_placeholder:np_weights[l]})
    sess.run(b_2_update_op, {b_2_update_placeholder:np.zeros(shape=[1,n_middle],dtype=np.float32)})
    end_w2 = None
    end_b2 = None

    old_test_data = []
    historical_cross_test_acc = {}
    historical_train_accuracies = {}
    historical_train_costs = {}
    historical_val_accuracies = {}
    historical_val_costs = {}
    sets = [(0,1), (2,3), (4,5), (6,7), (8,9)]
    #sets = [(0,4),(5,9)]
    test_labels_set = []
    
    n_test_samples = []
    for a_set in range(len(sets)):
        current_set = sets[a_set]
        current_set_name = 'set'+str(a_set)
        mask_val = [0]*num_classes
        for i in range(0, current_set[1]+1):
            mask_val[i]=1
        set_mask_val = np.array(mask_val, dtype=np.float32)
        print('Current mask:{}'.format(set_mask_val))
        train_data_set, valid_data_set, test_data_set = extract_class_data(start=current_set[0],
                                                                      stop=current_set[1])
        train_images_set, train_labels_set = train_data_set[0], train_data_set[1]
        valid_images_set, valid_labels_set = valid_data_set[0], valid_data_set[1]
        test_images_set, test_labels_set = test_data_set[0], test_data_set[1]
        n_test_samples.append(len(test_labels_set))
        train_total = len(train_images_set)
        n_batches = len(train_images_set)/BATCH_SIZE
        #@@print('Number of batches:{}'.format(n_batches))


        #@@set_omegas = [tf.assign(big_omeg_w2, new_big_omeg_w2), tf.assign(big_omeg_b2, new_big_omeg_b2)]
        #@@sess.run(set_omegas)
        
        sess.run(big_omeg_w2_update_op, {big_omeg_w2_update_placeholder:new_big_omeg_w2})
        sess.run(big_omeg_b2_update_op, {big_omeg_b2_update_placeholder:new_big_omeg_b2})

        #@@reset_grad_accums = [tf.assign(w2_grad_accum, reset_w2_grad_accum),
        #@@                     tf.assign(b2_grad_accum, reset_b2_grad_accum)]
        #@@sess.run(reset_grad_accums)
        
        sess.run(w2_grad_accum_update_op, {w2_grad_accum_update_placeholder:reset_w2_grad_accum})
        sess.run(b2_grad_accum_update_op, {b2_grad_accum_update_placeholder:reset_b2_grad_accum})

        
        #@@reset_w3 = [tf.assign(w_3, w3_zeros), tf.assign(b_3, b3_zeros)]
        #@@sess.run(reset_w3)
        sess.run(w_3_update_op, {w_3_update_placeholder:w3_zeros})
        sess.run(b_3_update_op, {b_3_update_placeholder:b3_zeros})
    
        epochs = 10
        repeats = 1

        for repeat in range(repeats):
            #tf.set_random_seed(l)
            print('Repeat:{}'.format(repeat))
            train_accuracies = []
            train_costs = []
            val_accuracies = []
            val_costs = []
            best_val = 0
            first_params_set = None
            last_params_set = None
            T1 = time.time()
            for i in range(epochs):
                if(i==0):
                    start_w2, start_b2 = w_2.eval(), b_2.eval()
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: len(train_images_set)})
                #@@print('Epoch:{}'.format((i)))
                t1 = time.time()

                ### CALCULATE TRAIN COSTS AND TRAIN ACCURACIES
                train_cost, train_accuracy = sess.run([cost, acct_res] ,feed_dict = {drop_out : 0.0, 
                                                                                     set1_mask:set_mask_val})
                train_costs.append(train_cost)
                train_accuracies.append(train_accuracy)
                #train_writer.add_summary(summary,logging_count)

                print('training cost:{} and training accuracy:{}'.format(train_costs[i], train_accuracies[i]))

                ### CALCULATE VALID COSTS AND VALID ACCURACIES
                sess.run(iter.initializer, feed_dict={a_1: valid_images_set, y: valid_labels_set,
                                                      batch_size: len(valid_images_set)})
                _, _, val_acc, val_cost, _ = sess.run([predictions,acct_mat,acct_res, cost, a_3],
                                                      feed_dict = {drop_out : 0.0,set1_mask:set_mask_val})
                val_costs.append(val_cost)
                val_accuracies.append(val_acc)

                if(val_acc>best_val):
                    best_val = val_acc
                    best_params_set1 = [(w_2.eval(),b_2.eval()),(w_3.eval(),b_3.eval())]
                print('validation cost:{} and validation accuracy:{}'.format(val_cost, val_acc))   
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: BATCH_SIZE})


                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                  batch_size: BATCH_SIZE})
                print('Training on :{}'.format(current_set))
                for j in range(n_batches):

                    if(not (np.isnan(w_2.eval().any() and np.isnan(w_3.eval()).any()))):
                        #if(a_set==1):
                        #    print(j, w_2.eval().sum(), w_3.eval().sum())
                        if(((j)% 1000 ==0)):
                            logging_count+=1
                            summary,_,_ = sess.run([merged,step, omega_step], 
                                                 feed_dict = {drop_out:0.0,batch_size: BATCH_SIZE,tau:0.5,
                                                              set1_mask:set_mask_val,eta:0.001,
                                                              lmbda:lmbdas[l],n_tot:train_total})
                            #train_writer.add_summary(summary, (i+1)*j)
                            train_writer.add_summary(summary, logging_count)
                        else:
                            sess.run([step, omega_step],feed_dict = {drop_out:0.0,batch_size:BATCH_SIZE,
                                                                     tau:0.5,set1_mask:set_mask_val,
                                                                     eta:0.001,lmbda:lmbdas[l],
                                                                     n_tot:train_total})
                    else:
                        print('Nan encountered in epoch:{} and batch:{}'.format(i, j))
                #@@print('Epoch time:{}'.format(time.time()-t1))


            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,final_test_acc,_ = sess.run([predictions, acct_res, a_3], 
                                                                  feed_dict = {drop_out:0.0, 
                                                                               set1_mask:set_mask_val})
            #@@print('Final test accuracy is:{}'.format(final_test_acc))
            end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
            #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
            #@@sess.run(update_star_wbs)
            sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
            sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
            
            
            #all_final_test_accs_set1.append(final_test_acc)


            #@@best_step = [tf.assign(w_2,best_params_set1[0][0]), tf.assign(b_2,best_params_set1[0][1]),
            #@@             tf.assign(w_3,best_params_set1[1][0]),tf.assign(b_3,best_params_set1[1][1])]
            #@@sess.run(best_step)
            
            sess.run(w_2_update_op, {w_2_update_placeholder:best_params_set1[0][0]})
            sess.run(b_2_update_op, {b_2_update_placeholder:best_params_set1[0][1]})
            
            sess.run(w_3_update_op, {w_3_update_placeholder:best_params_set1[1][0]})
            sess.run(b_3_update_op, {b_3_update_placeholder:best_params_set1[1][1]})
            
            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,test_acc_corresp_best_val,_ = sess.run([predictions, acct_res, a_3],
                                                     feed_dict = {drop_out:0.0,set1_mask:set_mask_val})

            #@@print('Test accuracy corresp to best val acc:{}'.format(test_acc_corresp_best_val))
            print('Time taken:{}'.format(time.time()-T1))
            #w3_list.append(w_3.eval())
            w3_accum.append(w_3.eval())
            #b3_list.append(b_3.eval())
            b3_accum.append(b_3.eval())
            if(i==epochs-1):
                if(test_acc_corresp_best_val>final_test_acc):
                    end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
                    #all_final_test_accs_set1[-1] = test_acc_corresp_best_val
                    #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
                    #@@sess.run(update_star_wbs)
                    
                    sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
                    sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
                    

                #@@best_step = [tf.assign(w_2,end_w2), tf.assign(b_2,end_b2),
                #@@         tf.assign(w_3,end_w3),tf.assign(b_3,end_b3)]
                #@@sess.run(best_step)
                
                
                sess.run(w_2_update_op, {w_2_update_placeholder:end_w2})
                sess.run(b_2_update_op, {b_2_update_placeholder:end_b2})
                
                sess.run(w_3_update_op, {w_3_update_placeholder:end_w3})
                sess.run(b_3_update_op, {b_3_update_placeholder:end_b3})

                first_params_set = [(start_w2, start_b2)]
                last_params_set = [(end_w2, end_b2)]

                small_omegas = [(w2_grad_accum.eval(),b2_grad_accum.eval())]

                delta_ws = map(lambda x,y: np.square(x-y)+zeta,[item[0] for item in last_params_set],
                           [item[0] for item in first_params_set])

                delta_bs = map(lambda x,y: np.square(x-y)+zeta,[item[1] for item in last_params_set],
                           [item[1] for item in first_params_set])
                delta_wbs = zip(delta_ws, delta_bs)

                big_omegas_ws = map(lambda x,y: (x/y),[item[0] for item in small_omegas],
                           [item[0] for item in delta_wbs])            
                big_omegas_bs = map(lambda x,y: (x/y),[item[1] for item in small_omegas],
                           [item[1] for item in delta_wbs])

                big_omegas = zip(big_omegas_ws, big_omegas_bs)
                new_big_omeg_w2 += big_omegas[0][0]
                new_big_omeg_b2 += big_omegas[0][1]
                #@@print('omegW2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_w2.max(),
                #@@                                                new_big_omeg_w2.mean(),
                #@@                                                new_big_omeg_w2.std()))
                #@@print('omegb2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_b2.max(),
                #@@                                                new_big_omeg_b2.mean(),
                #@@                                                new_big_omeg_b2.std()))

        historical_train_accuracies[current_set_name]=train_accuracies
        historical_train_costs[current_set_name]=train_costs
        historical_val_accuracies[current_set_name]=val_accuracies
        historical_val_costs[current_set_name]=val_costs
    
    #######Method 3 ###########
    w3_set_rows = []
    offset=0
    for item in w3_accum:
        w3_set_rows.append(item[:,offset:offset+2])
        offset+=2


    w3_set_row_avgs = [item.mean() for item in w3_set_rows]
    final_w3 = map(lambda x,y:x-y,w3_set_rows, w3_set_row_avgs)
    final_w3 = np.concatenate(final_w3, axis=1)

    b3_set_rows = []
    offset=0
    for item in b3_accum:
        b3_set_rows.append(item[:,offset:offset+2])
        offset+=2
    b3_set_row_avgs = [item.mean() for item in b3_set_rows]
    final_b3 = map(lambda x,y:x-y,b3_set_rows, b3_set_row_avgs)
    final_b3 = np.concatenate(final_b3, axis=1)

    #@@set_w3 = [tf.assign(w_3, final_w3), tf.assign(b_3, final_b3)]
    #@@sess.run(set_w3)
    sess.run(w_3_update_op, {w_3_update_placeholder:final_w3})
    sess.run(b_3_update_op, {b_3_update_placeholder:final_b3})

    sess.run(iter.initializer, feed_dict={a_1: test_images, y: to_categorical(test_labels,num_classes=num_classes),
                                                      batch_size: len(test_images)})
    _,final_test_acc,_ = sess.run([predictions, acct_res, a_3],
                                  feed_dict = {drop_out:0.0,set1_mask:set_mask_val})
    method3_test_accs.append(final_test_acc)
    print('Method 3 test accuracy:{}'.format(final_test_acc))
    
    
train_writer.close()
print('Total time:{}'.format(time.time()-START_TIME))
Training with lmbda:0, 0
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.0424780659378 and training accuracy:0.99514144659
validation cost:0.0425861291587 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0238319151103 and training accuracy:0.995575249195
validation cost:0.0244052931666 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0170864723623 and training accuracy:0.996703088284
validation cost:0.0173231437802 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0137033909559 and training accuracy:0.997136890888
validation cost:0.0140941208228 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0115019194782 and training accuracy:0.997657477856
validation cost:0.0115101812407 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0099402749911 and training accuracy:0.997744202614
validation cost:0.00971961114556 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00863864738494 and training accuracy:0.998004496098
validation cost:0.0086479568854 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00776934204623 and training accuracy:0.99809128046
validation cost:0.0084388460964 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00688597885892 and training accuracy:0.998178005219
validation cost:0.00751441437751 and validation accuracy:0.998244047165
Training on :(0, 1)
Time taken:136.535069942
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.168302044272 and training accuracy:0.950004518032
validation cost:0.169079318643 and validation accuracy:0.943014681339
Training on :(2, 3)
training cost:0.113371483982 and training accuracy:0.968548297882
validation cost:0.12098506093 and validation accuracy:0.962316155434
Training on :(2, 3)
training cost:0.0885975807905 and training accuracy:0.97309333086
validation cost:0.0926486998796 and validation accuracy:0.967830896378
Training on :(2, 3)
training cost:0.0738820210099 and training accuracy:0.974093258381
validation cost:0.0787701904774 and validation accuracy:0.96875
Training on :(2, 3)
training cost:0.0646886602044 and training accuracy:0.977183878422
validation cost:0.0672900676727 and validation accuracy:0.971507370472
Training on :(2, 3)
training cost:0.0566079691052 and training accuracy:0.9806381464
validation cost:0.0583092048764 and validation accuracy:0.976102948189
Training on :(2, 3)
training cost:0.0513964854181 and training accuracy:0.982819736004
validation cost:0.0509350299835 and validation accuracy:0.980698525906
Training on :(2, 3)
training cost:0.0464820750058 and training accuracy:0.985546767712
validation cost:0.0469166785479 and validation accuracy:0.984375
Training on :(2, 3)
training cost:0.0427470132709 and training accuracy:0.987273871899
validation cost:0.0414676591754 and validation accuracy:0.987132370472
Training on :(2, 3)
Time taken:124.113954067
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.0990518555045 and training accuracy:0.991609752178
validation cost:0.0925189256668 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0539999529719 and training accuracy:0.99287801981
validation cost:0.0477138087153 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0376890674233 and training accuracy:0.994829297066
validation cost:0.0302194636315 and validation accuracy:0.999012827873
Training on :(4, 5)
training cost:0.0290481522679 and training accuracy:0.99658536911
validation cost:0.0220831781626 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.023657489568 and training accuracy:0.997756123543
validation cost:0.0176057368517 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0198712404817 and training accuracy:0.998341441154
validation cost:0.0145276719704 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0169922467321 and training accuracy:0.998341441154
validation cost:0.0122214574367 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0153050273657 and training accuracy:0.998146355152
validation cost:0.011213125661 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0139560960233 and training accuracy:0.998243927956
validation cost:0.0100094126537 and validation accuracy:1.0
Training on :(4, 5)
Time taken:114.010300875
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(6, 7)
training cost:0.0636208951473 and training accuracy:0.991611778736
validation cost:0.0635736957192 and validation accuracy:0.989051103592
Training on :(6, 7)
training cost:0.0342947021127 and training accuracy:0.996843159199
validation cost:0.0337495431304 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0241673067212 and training accuracy:0.997745096684
validation cost:0.0247216559947 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0191191416234 and training accuracy:0.998015701771
validation cost:0.01931928657 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0155691420659 and training accuracy:0.998286306858
validation cost:0.0159959737211 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0129639329389 and training accuracy:0.9987372756
validation cost:0.0133697763085 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.011112768203 and training accuracy:0.998827457428
validation cost:0.0117992609739 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.00979762617499 and training accuracy:0.999007821083
validation cost:0.0101021369919 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.00877885892987 and training accuracy:0.999098062515
validation cost:0.00852270238101 and validation accuracy:0.999087572098
Training on :(6, 7)
Time taken:123.783849001
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.151477068663 and training accuracy:0.965170443058
validation cost:0.148457437754 and validation accuracy:0.964218437672
Training on :(8, 9)
training cost:0.103641562164 and training accuracy:0.972527444363
validation cost:0.103159971535 and validation accuracy:0.973634660244
Training on :(8, 9)
training cost:0.082123234868 and training accuracy:0.976066291332
validation cost:0.0786714181304 and validation accuracy:0.980225980282
Training on :(8, 9)
training cost:0.069301366806 and training accuracy:0.979791402817
validation cost:0.0627456903458 and validation accuracy:0.98399245739
Training on :(8, 9)
training cost:0.0595998130739 and training accuracy:0.982957720757
validation cost:0.0547399930656 and validation accuracy:0.987758934498
Training on :(8, 9)
training cost:0.0535054244101 and training accuracy:0.985285878181
validation cost:0.0488348640501 and validation accuracy:0.990583777428
Training on :(8, 9)
training cost:0.0479301735759 and training accuracy:0.986775934696
validation cost:0.0455383919179 and validation accuracy:0.991525411606
Training on :(8, 9)
training cost:0.0442771986127 and training accuracy:0.987520933151
validation cost:0.0432717837393 and validation accuracy:0.990583777428
Training on :(8, 9)
training cost:0.0408748500049 and training accuracy:0.988359093666
validation cost:0.0389142967761 and validation accuracy:0.993408679962
Training on :(8, 9)
Time taken:119.87639308
Method 3 test accuracy:0.78979998827
Training with lmbda:75023.594281, 1
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.0424780659378 and training accuracy:0.99514144659
validation cost:0.0425861291587 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0238319151103 and training accuracy:0.995575249195
validation cost:0.0244052931666 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0170864723623 and training accuracy:0.996703088284
validation cost:0.0173231437802 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0137033909559 and training accuracy:0.997136890888
validation cost:0.0140941208228 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0115019194782 and training accuracy:0.997657477856
validation cost:0.0115101812407 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0099402749911 and training accuracy:0.997744202614
validation cost:0.00971961114556 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00863864738494 and training accuracy:0.998004496098
validation cost:0.0086479568854 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00776934204623 and training accuracy:0.99809128046
validation cost:0.0084388460964 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00688597885892 and training accuracy:0.998178005219
validation cost:0.00751441437751 and validation accuracy:0.998244047165
Training on :(0, 1)
Time taken:128.904242992
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.168326407671 and training accuracy:0.950004518032
validation cost:0.169079318643 and validation accuracy:0.943014681339
Training on :(2, 3)
training cost:0.113436385989 and training accuracy:0.968457400799
validation cost:0.120995566249 and validation accuracy:0.962316155434
Training on :(2, 3)
training cost:0.0886830016971 and training accuracy:0.973184227943
validation cost:0.0928283855319 and validation accuracy:0.967830896378
Training on :(2, 3)
training cost:0.0738756507635 and training accuracy:0.974093258381
validation cost:0.0789003744721 and validation accuracy:0.96875
Training on :(2, 3)
training cost:0.0645552128553 and training accuracy:0.977456569672
validation cost:0.0673339515924 and validation accuracy:0.972426474094
Training on :(2, 3)
training cost:0.0565150380135 and training accuracy:0.980729043484
validation cost:0.0583194643259 and validation accuracy:0.976102948189
Training on :(2, 3)
training cost:0.0511750020087 and training accuracy:0.982819736004
validation cost:0.0505346208811 and validation accuracy:0.980698525906
Training on :(2, 3)
training cost:0.0465326309204 and training accuracy:0.985455870628
validation cost:0.0466939024627 and validation accuracy:0.984375
Training on :(2, 3)
training cost:0.0427991561592 and training accuracy:0.987182974815
validation cost:0.0416137315333 and validation accuracy:0.987132370472
Training on :(2, 3)
Time taken:123.345343113
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.0989966988564 and training accuracy:0.991609752178
validation cost:0.0915736556053 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0542582646012 and training accuracy:0.992780506611
validation cost:0.0479513183236 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0378987528384 and training accuracy:0.994634151459
validation cost:0.0303465798497 and validation accuracy:0.999012827873
Training on :(4, 5)
training cost:0.0292774755508 and training accuracy:0.99658536911
validation cost:0.0225297454745 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.023761132732 and training accuracy:0.997756123543
validation cost:0.0178401097655 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0201623681933 and training accuracy:0.998341441154
validation cost:0.0148836476728 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0172377955168 and training accuracy:0.998439013958
validation cost:0.0126786977053 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0156271532178 and training accuracy:0.998146355152
validation cost:0.0114567382261 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0141885150224 and training accuracy:0.998048782349
validation cost:0.0103687616065 and validation accuracy:1.0
Training on :(4, 5)
Time taken:114.677459002
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(6, 7)
training cost:0.0639498829842 and training accuracy:0.991250991821
validation cost:0.0634320303798 and validation accuracy:0.98813867569
Training on :(6, 7)
training cost:0.0343152657151 and training accuracy:0.997203946114
validation cost:0.0344460904598 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.024252442643 and training accuracy:0.997835278511
validation cost:0.0248887445778 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0189607832581 and training accuracy:0.998015701771
validation cost:0.019478680566 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0156978704035 and training accuracy:0.998196065426
validation cost:0.0163251813501 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0131867853925 and training accuracy:0.9987372756
validation cost:0.0132689010352 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.0114397937432 and training accuracy:0.998647093773
validation cost:0.0117318052799 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.0100808767602 and training accuracy:0.998917639256
validation cost:0.0104270121083 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.00906547438353 and training accuracy:0.999098062515
validation cost:0.00887079443783 and validation accuracy:0.999087572098
Training on :(6, 7)
Time taken:123.800060987
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.153863146901 and training accuracy:0.964332282543
validation cost:0.149105384946 and validation accuracy:0.964218437672
Training on :(8, 9)
training cost:0.103828720748 and training accuracy:0.972154974937
validation cost:0.100453525782 and validation accuracy:0.97834277153
Training on :(8, 9)
training cost:0.0825904533267 and training accuracy:0.975507557392
validation cost:0.0805253982544 and validation accuracy:0.979284346104
Training on :(8, 9)
training cost:0.0690082907677 and training accuracy:0.979791402817
validation cost:0.0640916079283 and validation accuracy:0.98399245739
Training on :(8, 9)
training cost:0.060409065336 and training accuracy:0.983330249786
validation cost:0.0557250007987 and validation accuracy:0.989642202854
Training on :(8, 9)
training cost:0.0540052577853 and training accuracy:0.985006511211
validation cost:0.0500498972833 and validation accuracy:0.990583777428
Training on :(8, 9)
training cost:0.0484573952854 and training accuracy:0.986682832241
validation cost:0.047080270946 and validation accuracy:0.990583777428
Training on :(8, 9)
training cost:0.0449270531535 and training accuracy:0.987707197666
validation cost:0.043886680156 and validation accuracy:0.991525411606
Training on :(8, 9)
training cost:0.041299328208 and training accuracy:0.988452196121
validation cost:0.0400593131781 and validation accuracy:0.991525411606
Training on :(8, 9)
Time taken:120.082966089
Method 3 test accuracy:0.781099975109
Training with lmbda:75607.8456039, 2
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.0424780659378 and training accuracy:0.99514144659
validation cost:0.0425861291587 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0238319151103 and training accuracy:0.995575249195
validation cost:0.0244052931666 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0170864723623 and training accuracy:0.996703088284
validation cost:0.0173231437802 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0137033909559 and training accuracy:0.997136890888
validation cost:0.0140941208228 and validation accuracy:0.996488153934
Training on :(0, 1)
training cost:0.0115019194782 and training accuracy:0.997657477856
validation cost:0.0115101812407 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0099402749911 and training accuracy:0.997744202614
validation cost:0.00971961114556 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00863864738494 and training accuracy:0.998004496098
validation cost:0.0086479568854 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00776934204623 and training accuracy:0.99809128046
validation cost:0.0084388460964 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.00688597885892 and training accuracy:0.998178005219
validation cost:0.00751441437751 and validation accuracy:0.998244047165
Training on :(0, 1)
Time taken:128.685475111
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.168326407671 and training accuracy:0.950004518032
validation cost:0.169079318643 and validation accuracy:0.943014681339
Training on :(2, 3)
training cost:0.113436385989 and training accuracy:0.968457400799
validation cost:0.120995566249 and validation accuracy:0.962316155434
Training on :(2, 3)
training cost:0.0886830016971 and training accuracy:0.973184227943
validation cost:0.0928283855319 and validation accuracy:0.967830896378
Training on :(2, 3)
training cost:0.0738862082362 and training accuracy:0.974093258381
validation cost:0.0789003744721 and validation accuracy:0.96875
Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:122.863302946
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:77122.5879537, 4
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:124.459862947
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:79129.2637755, 7
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:0, 9
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:124.313014984
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:123.040968895
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.794600009918
Training with lmbda:75607.8456039, 11
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.793699979782
Training with lmbda:76391.8469255, 12
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.794499993324
Training with lmbda:79129.2637755, 16
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.793500006199
Training with lmbda:79223.8806616, 17
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:123.420145035
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:76391.8469255, 21
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.787999987602
Training with lmbda:77122.5879537, 22
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:77717.024709, 23
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:79223.8806616, 26
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:0, 27
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.790499985218
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:77717.024709, 32
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:0, 36
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:121.233191967
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Training with lmbda:75023.594281, 37
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
Time taken:116.142161846
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:123.986674786
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:124.800716877
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:120.710126877
Method 3 test accuracy:0.779100000858
Training with lmbda:77717.024709, 41
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:124.306868076
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
training cost:0.0420514419675 and training accuracy:0.987986564636
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Training on :(8, 9)
Time taken:121.493865013
Method 3 test accuracy:0.779399991035
Training with lmbda:78353.7454236, 42
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:124.918267012
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:121.000211
Method 3 test accuracy:0.778900027275
Training with lmbda:79129.2637755, 43
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.778599977493
Training with lmbda:79223.8806616, 44
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:124.306491137
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:78353.7454236, 51
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.797399997711
Training with lmbda:77122.5879537, 58
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:125.330398083
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:124.151319981
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:121.16384697
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Training with lmbda:0, 63
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.797299981117
Training with lmbda:75023.594281, 64
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Valid features:(1088, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
Time taken:115.396486998
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:121.001547098
Method 3 test accuracy:0.792599976063
Training with lmbda:78353.7454236, 78
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:120.886749983
Method 3 test accuracy:0.792299985886
Training with lmbda:79129.2637755, 79
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:126.081047058
Method 3 test accuracy:0.77689999342
Training with lmbda:76391.8469255, 84
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:124.546977997
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:79129.2637755, 88
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:128.891454935
Method 3 test accuracy:0.777599990368
Training with lmbda:79223.8806616, 89
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
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Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.0417908243835 and training accuracy:0.994967877865
validation cost:0.0471030026674 and validation accuracy:0.992976307869
Training on :(0, 1)
training cost:0.0232260320336 and training accuracy:0.995228171349
validation cost:0.0289236549288 and validation accuracy:0.992098331451
Training on :(0, 1)
training cost:0.0164824090898 and training accuracy:0.997310400009
validation cost:0.0200726669282 and validation accuracy:0.995610177517
Training on :(0, 1)
training cost:0.0131519054994 and training accuracy:0.997830986977
validation cost:0.0164472255856 and validation accuracy:0.995610177517
Training on :(0, 1)
training cost:0.0110759427771 and training accuracy:0.997744202614
validation cost:0.01487235073 and validation accuracy:0.995610177517
Training on :(0, 1)
training cost:0.00949898548424 and training accuracy:0.998004496098
validation cost:0.0133176892996 and validation accuracy:0.995610177517
Training on :(0, 1)
training cost:0.00843800976872 and training accuracy:0.99809128046
validation cost:0.011507817544 and validation accuracy:0.995610177517
Training on :(0, 1)
training cost:0.00766462180763 and training accuracy:0.998351573944
validation cost:0.0114531647414 and validation accuracy:0.995610177517
Training on :(0, 1)
training cost:0.00702045299113 and training accuracy:0.998351573944
validation cost:0.0103198196739 and validation accuracy:0.995610177517
Training on :(0, 1)
Time taken:141.118446112
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.162940382957 and training accuracy:0.952822446823
validation cost:0.166034370661 and validation accuracy:0.950367629528
Training on :(2, 3)
training cost:0.108155660331 and training accuracy:0.970275402069
validation cost:0.111423708498 and validation accuracy:0.963235318661
Training on :(2, 3)
training cost:0.0843611061573 and training accuracy:0.973002433777
validation cost:0.0880932807922 and validation accuracy:0.965992629528
Training on :(2, 3)
training cost:0.0718272700906 and training accuracy:0.976093053818
validation cost:0.0758925527334 and validation accuracy:0.974264681339
Training on :(2, 3)
training cost:0.0622203834355 and training accuracy:0.980365395546
validation cost:0.0654985383153 and validation accuracy:0.977941155434
Training on :(2, 3)
training cost:0.054221406579 and training accuracy:0.983819663525
validation cost:0.0570843294263 and validation accuracy:0.981617629528
Training on :(2, 3)
training cost:0.0490778125823 and training accuracy:0.985637664795
validation cost:0.0533064045012 and validation accuracy:0.983455896378
Training on :(2, 3)
training cost:0.0453459732234 and training accuracy:0.986274003983
validation cost:0.0490844845772 and validation accuracy:0.982536792755
Training on :(2, 3)
training cost:0.0418931357563 and training accuracy:0.987546563148
validation cost:0.0432323478162 and validation accuracy:0.985294103622
Training on :(2, 3)
Time taken:132.76019311
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.10091740638 and training accuracy:0.991512179375
validation cost:0.093572370708 and validation accuracy:0.998025655746
Training on :(4, 5)
training cost:0.0563026033342 and training accuracy:0.993073165417
validation cost:0.049197267741 and validation accuracy:0.998025655746
Training on :(4, 5)
training cost:0.0387045815587 and training accuracy:0.995707333088
validation cost:0.0315217785537 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0302623286843 and training accuracy:0.99658536911
validation cost:0.0238622426987 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0252375006676 and training accuracy:0.996780514717
validation cost:0.019278222695 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0213981866837 and training accuracy:0.996975600719
validation cost:0.0154308229685 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0186043027788 and training accuracy:0.99726831913
validation cost:0.0136905191466 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0167006868869 and training accuracy:0.99726831913
validation cost:0.01181945391 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0150844575837 and training accuracy:0.997463405132
validation cost:0.010355421342 and validation accuracy:1.0
Training on :(4, 5)
Time taken:124.780086994
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(6, 7)
training cost:0.0634964108467 and training accuracy:0.991160809994
validation cost:0.0622617974877 and validation accuracy:0.989963531494
Training on :(6, 7)
training cost:0.034435685724 and training accuracy:0.996482372284
validation cost:0.0325755365193 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0245854742825 and training accuracy:0.997384309769
validation cost:0.0228094514459 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.0188301242888 and training accuracy:0.997654914856
validation cost:0.0168310068548 and validation accuracy:1.0
Training on :(6, 7)
training cost:0.0153751233593 and training accuracy:0.998105883598
validation cost:0.0138392047957 and validation accuracy:1.0
Training on :(6, 7)
training cost:0.0131724188104 and training accuracy:0.998376488686
validation cost:0.0118307983503 and validation accuracy:1.0
Training on :(6, 7)
training cost:0.0112944040447 and training accuracy:0.998827457428
validation cost:0.0102443601936 and validation accuracy:1.0
Training on :(6, 7)
training cost:0.0100962286815 and training accuracy:0.998917639256
validation cost:0.00916360504925 and validation accuracy:1.0
Training on :(6, 7)
training cost:0.00915245898068 and training accuracy:0.999007821083
validation cost:0.00824708770961 and validation accuracy:1.0
Training on :(6, 7)
Time taken:134.450176954
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.151649415493 and training accuracy:0.962842226028
validation cost:0.155602201819 and validation accuracy:0.960451960564
Training on :(8, 9)
training cost:0.105758495629 and training accuracy:0.970664918423
validation cost:0.109275273979 and validation accuracy:0.977401137352
Training on :(8, 9)
training cost:0.0852840095758 and training accuracy:0.974110662937
validation cost:0.0890263020992 and validation accuracy:0.977401137352
Training on :(8, 9)
training cost:0.0732069611549 and training accuracy:0.976811349392
validation cost:0.0762141570449 and validation accuracy:0.975517868996
Training on :(8, 9)
training cost:0.0632278546691 and training accuracy:0.980908930302
validation cost:0.0645297393203 and validation accuracy:0.98399245739
Training on :(8, 9)
training cost:0.055744715035 and training accuracy:0.983330249786
validation cost:0.0570819154382 and validation accuracy:0.985875725746
Training on :(8, 9)
training cost:0.0509763471782 and training accuracy:0.985285878181
validation cost:0.0517531298101 and validation accuracy:0.989642202854
Training on :(8, 9)
training cost:0.0464550517499 and training accuracy:0.986030936241
validation cost:0.0471315048635 and validation accuracy:0.989642202854
Training on :(8, 9)
training cost:0.0430245101452 and training accuracy:0.986962199211
validation cost:0.0427758395672 and validation accuracy:0.990583777428
Training on :(8, 9)
Time taken:131.264486074
Method 3 test accuracy:0.779600024223
Total time:55639.4809101

Final accuracies

In [15]:
final_test_acc = pd.DataFrame({'Method3':method3_test_accs, 'lambdas':lmbdas})
final_test_acc.to_csv('spike_sh_11lmbdas_ar1_3lyrs_he1_75_80.csv')
final_test_acc
Out[15]:
Method3 lambdas
0 0.7898 0.000000
1 0.7811 75023.594281
2 0.7809 75607.845604
3 0.7813 76391.846925
4 0.7812 77122.587954
5 0.7807 77717.024709
6 0.7810 78353.745424
7 0.7814 79129.263776
8 0.7803 79223.880662
9 0.7927 0.000000
10 0.7946 75023.594281
11 0.7937 75607.845604
12 0.7940 76391.846925
13 0.7940 77122.587954
14 0.7941 77717.024709
15 0.7945 78353.745424
16 0.7935 79129.263776
17 0.7947 79223.880662
18 0.7879 0.000000
19 0.7878 75023.594281
20 0.7870 75607.845604
21 0.7880 76391.846925
22 0.7876 77122.587954
23 0.7871 77717.024709
24 0.7877 78353.745424
25 0.7874 79129.263776
26 0.7863 79223.880662
27 0.7893 0.000000
28 0.7897 75023.594281
29 0.7849 75607.845604
... ... ...
60 0.8009 78353.745424
61 0.7984 79129.263776
62 0.7979 79223.880662
63 0.7973 0.000000
64 0.7967 75023.594281
65 0.7966 75607.845604
66 0.8016 76391.846925
67 0.7940 77122.587954
68 0.7954 77717.024709
69 0.7949 78353.745424
70 0.7940 79129.263776
71 0.7948 79223.880662
72 0.8015 0.000000
73 0.7927 75023.594281
74 0.7925 75607.845604
75 0.8028 76391.846925
76 0.7918 77122.587954
77 0.7926 77717.024709
78 0.7923 78353.745424
79 0.7925 79129.263776
80 0.7923 79223.880662
81 0.7759 0.000000
82 0.7777 75023.594281
83 0.7769 75607.845604
84 0.7782 76391.846925
85 0.7777 77122.587954
86 0.7775 77717.024709
87 0.7769 78353.745424
88 0.7776 79129.263776
89 0.7796 79223.880662

90 rows × 2 columns

Groupby $\lambda$s

In [35]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
final_acc_grouped_by_lmbda = acc_grouped_by_lmbda.mean()
final_acc_grouped_by_lmbda.rename(columns={'Method3':'MEAN'}, inplace=True)
final_acc_grouped_by_lmbda['S.D'] = acc_grouped_by_lmbda.std()
final_acc_grouped_by_lmbda['MIN'] = acc_grouped_by_lmbda.min()
final_acc_grouped_by_lmbda['MAX'] = acc_grouped_by_lmbda.max()
final_acc_grouped_by_lmbda['MED'] = acc_grouped_by_lmbda.median()
final_acc_grouped_by_lmbda.reset_index(inplace=True)
final_acc_grouped_by_lmbda
Out[35]:
lambdas MEAN S.D MIN MAX MED
0 0.000000 0.78983 0.008506 0.7759 0.8015 0.78955
1 75023.594281 0.78809 0.007356 0.7777 0.7977 0.78875
2 75607.845604 0.78774 0.007806 0.7769 0.8005 0.78595
3 76391.846925 0.78976 0.009035 0.7782 0.8028 0.78925
4 77122.587954 0.78799 0.007161 0.7777 0.7987 0.78965
5 77717.024709 0.78782 0.007237 0.7775 0.7980 0.78835
6 78353.745424 0.78838 0.007835 0.7769 0.8009 0.78975
7 79129.263776 0.78861 0.007618 0.7776 0.7984 0.78995
8 79223.880662 0.78868 0.007626 0.7785 0.7979 0.78930

Plots

In [39]:
mpl.rcParams['figure.figsize'] = 7,4.5
mpl.rcParams['axes.labelsize'] = 12
mpl.rcParams['lines.linewidth'] = 1.5
mpl.rcParams['lines.markersize'] = 8
mpl.rcParams['xtick.labelsize'] = 13
mpl.rcParams['ytick.labelsize'] = 12
mpl.rcParams['legend.fontsize'] = 12

final_acc_grouped_by_lmbda.plot(y=['MEAN','MED','MAX'],x='lambdas')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ylabel('Accuracy')
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Init the writer with $\lambda$s (7.5, 10.0) non-spk classification

In [11]:
path = '/home/ruthvik/Desktop/Summer 2017/tf_graph_outputs/mnist/continual_learning/original_mnist_5sets'
merged = tf.summary.merge_all()
train_writer = tf.summary.FileWriter(path + '/spike_sh_14lmbdas_ar1_3lyrs_he1_75_10-non_spk', sess.graph)

Generate $\lambda$s

In [12]:
np.random.seed(100)
n_lmbdas = 14
a = np.random.uniform(low=7.5, high=10.0, size=(n_lmbdas,))
print(a)
print()
a = a*1.0e4
a = a[np.argsort(a)]
print(a)
print()
n_reps = 10
a = ([0]+a.tolist())*n_reps
n_lmbdas+=1
print(a, len(a))
[8.85851235 8.19592346 8.56129398 9.61194033 7.51179714 7.8039228
 9.17687271 9.56463189 7.84176647 8.93773332 9.72830489 8.02300531
 7.96332055 7.77094223]
()
[75117.97140477 77709.42226161 78039.22801958 78417.66474212
 79633.20548875 80230.05305293 81959.23462734 85612.93976873
 88585.12354477 89377.33323568 91768.72711817 95646.31887763
 96119.403308   97283.04885781]
()
([0, 75117.9714047743, 77709.42226160638, 78039.22801957786, 78417.66474212382, 79633.20548875188, 80230.05305292974, 81959.23462734491, 85612.93976872832, 88585.12354477413, 89377.33323568125, 91768.72711816947, 95646.3188776262, 96119.40330799759, 97283.04885780659, 0, 75117.9714047743, 77709.42226160638, 78039.22801957786, 78417.66474212382, 79633.20548875188, 80230.05305292974, 81959.23462734491, 85612.93976872832, 88585.12354477413, 89377.33323568125, 91768.72711816947, 95646.3188776262, 96119.40330799759, 97283.04885780659, 0, 75117.9714047743, 77709.42226160638, 78039.22801957786, 78417.66474212382, 79633.20548875188, 80230.05305292974, 81959.23462734491, 85612.93976872832, 88585.12354477413, 89377.33323568125, 91768.72711816947, 95646.3188776262, 96119.40330799759, 97283.04885780659, 0, 75117.9714047743, 77709.42226160638, 78039.22801957786, 78417.66474212382, 79633.20548875188, 80230.05305292974, 81959.23462734491, 85612.93976872832, 88585.12354477413, 89377.33323568125, 91768.72711816947, 95646.3188776262, 96119.40330799759, 97283.04885780659, 0, 75117.9714047743, 77709.42226160638, 78039.22801957786, 78417.66474212382, 79633.20548875188, 80230.05305292974, 81959.23462734491, 85612.93976872832, 88585.12354477413, 89377.33323568125, 91768.72711816947, 95646.3188776262, 96119.40330799759, 97283.04885780659, 0, 75117.9714047743, 77709.42226160638, 78039.22801957786, 78417.66474212382, 79633.20548875188, 80230.05305292974, 81959.23462734491, 85612.93976872832, 88585.12354477413, 89377.33323568125, 91768.72711816947, 95646.3188776262, 96119.40330799759, 97283.04885780659, 0, 75117.9714047743, 77709.42226160638, 78039.22801957786, 78417.66474212382, 79633.20548875188, 80230.05305292974, 81959.23462734491, 85612.93976872832, 88585.12354477413, 89377.33323568125, 91768.72711816947, 95646.3188776262, 96119.40330799759, 97283.04885780659, 0, 75117.9714047743, 77709.42226160638, 78039.22801957786, 78417.66474212382, 79633.20548875188, 80230.05305292974, 81959.23462734491, 85612.93976872832, 88585.12354477413, 89377.33323568125, 91768.72711816947, 95646.3188776262, 96119.40330799759, 97283.04885780659, 0, 75117.9714047743, 77709.42226160638, 78039.22801957786, 78417.66474212382, 79633.20548875188, 80230.05305292974, 81959.23462734491, 85612.93976872832, 88585.12354477413, 89377.33323568125, 91768.72711816947, 95646.3188776262, 96119.40330799759, 97283.04885780659, 0, 75117.9714047743, 77709.42226160638, 78039.22801957786, 78417.66474212382, 79633.20548875188, 80230.05305292974, 81959.23462734491, 85612.93976872832, 88585.12354477413, 89377.33323568125, 91768.72711816947, 95646.3188776262, 96119.40330799759, 97283.04885780659], 150)

Generate random weights

In [13]:
lmbdas = a
np.random.seed(0)
np_weights = []
low = -np.sqrt(2.0/(n_input)) # use 4 for sigmoid, 1 for tanh activation 
high = np.sqrt(2.0/(n_input))
for i in range(n_reps):
    np_weights.append(np.random.uniform(low=low,high=high,size=(n_input,n_middle)))

np_weights=[item for item in np_weights for i in range(n_lmbdas)]
print(len(np_weights), len(lmbdas))
(150, 150)
In [14]:
np.array_equal(np_weights[0], np_weights[14])
Out[14]:
True
In [15]:
np.array_equal(np_weights[0], np_weights[15])
Out[15]:
False

Commence training

In [16]:
START_TIME = time.time()
method3_test_accs = []
#INITIALIZE THE NETWORK
logging_count = 0
sess.run(init_op,options=run_options, run_metadata=run_metadata)
sess.graph.finalize()
for l in range(len(lmbdas)):
    print('Training with lmbda:{}, {}'.format(lmbdas[l], l))
    #sess.run(init_op,options=run_options, run_metadata=run_metadata)
    zeta = 1e-3
    new_big_omeg_w2 = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    new_big_omeg_b2 = np.zeros(shape=[1,n_middle], dtype=np.float32)
    w3_zeros = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    b3_zeros = np.zeros(shape=[1,n_out], dtype=np.float32)
    w3_accum = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    w3_accum = []
    b3_accum = np.zeros(shape=[1,n_out], dtype=np.float32)
    b3_accum = []
    reset_w2_grad_accum = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    reset_b2_grad_accum = np.zeros(shape=[1,n_middle], dtype=np.float32)

    start_w2 = None
    start_b2 = None
    sess.run(w_2_update_op, {w_2_update_placeholder:np_weights[l]})
    sess.run(b_2_update_op, {b_2_update_placeholder:np.zeros(shape=[1,n_middle],dtype=np.float32)})
    end_w2 = None
    end_b2 = None

    old_test_data = []
    historical_cross_test_acc = {}
    historical_train_accuracies = {}
    historical_train_costs = {}
    historical_val_accuracies = {}
    historical_val_costs = {}
    sets = [(0,1), (2,3), (4,5), (6,7), (8,9)]
    #sets = [(0,4),(5,9)]
    test_labels_set = []
    
    n_test_samples = []
    for a_set in range(len(sets)):
        current_set = sets[a_set]
        current_set_name = 'set'+str(a_set)
        mask_val = [0]*num_classes
        for i in range(0, current_set[1]+1):
            mask_val[i]=1
        set_mask_val = np.array(mask_val, dtype=np.float32)
        print('Current mask:{}'.format(set_mask_val))
        train_data_set, valid_data_set, test_data_set = extract_class_data(start=current_set[0],
                                                                      stop=current_set[1])
        train_images_set, train_labels_set = train_data_set[0], train_data_set[1]
        valid_images_set, valid_labels_set = valid_data_set[0], valid_data_set[1]
        test_images_set, test_labels_set = test_data_set[0], test_data_set[1]
        n_test_samples.append(len(test_labels_set))
        train_total = len(train_images_set)
        n_batches = len(train_images_set)/BATCH_SIZE
        #@@print('Number of batches:{}'.format(n_batches))


        #@@set_omegas = [tf.assign(big_omeg_w2, new_big_omeg_w2), tf.assign(big_omeg_b2, new_big_omeg_b2)]
        #@@sess.run(set_omegas)
        
        sess.run(big_omeg_w2_update_op, {big_omeg_w2_update_placeholder:new_big_omeg_w2})
        sess.run(big_omeg_b2_update_op, {big_omeg_b2_update_placeholder:new_big_omeg_b2})

        #@@reset_grad_accums = [tf.assign(w2_grad_accum, reset_w2_grad_accum),
        #@@                     tf.assign(b2_grad_accum, reset_b2_grad_accum)]
        #@@sess.run(reset_grad_accums)
        
        sess.run(w2_grad_accum_update_op, {w2_grad_accum_update_placeholder:reset_w2_grad_accum})
        sess.run(b2_grad_accum_update_op, {b2_grad_accum_update_placeholder:reset_b2_grad_accum})

        
        #@@reset_w3 = [tf.assign(w_3, w3_zeros), tf.assign(b_3, b3_zeros)]
        #@@sess.run(reset_w3)
        sess.run(w_3_update_op, {w_3_update_placeholder:w3_zeros})
        sess.run(b_3_update_op, {b_3_update_placeholder:b3_zeros})
    
        epochs = 10
        repeats = 1

        for repeat in range(repeats):
            #tf.set_random_seed(l)
            print('Repeat:{}'.format(repeat))
            train_accuracies = []
            train_costs = []
            val_accuracies = []
            val_costs = []
            best_val = 0
            first_params_set = None
            last_params_set = None
            T1 = time.time()
            for i in range(epochs):
                if(i==0):
                    start_w2, start_b2 = w_2.eval(), b_2.eval()
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: len(train_images_set)})
                #@@print('Epoch:{}'.format((i)))
                t1 = time.time()

                ### CALCULATE TRAIN COSTS AND TRAIN ACCURACIES
                train_cost, train_accuracy = sess.run([cost, acct_res] ,feed_dict = {drop_out : 0.0, 
                                                                                     set1_mask:set_mask_val})
                train_costs.append(train_cost)
                train_accuracies.append(train_accuracy)
                #train_writer.add_summary(summary,logging_count)

                print('training cost:{} and training accuracy:{}'.format(train_costs[i], train_accuracies[i]))

                ### CALCULATE VALID COSTS AND VALID ACCURACIES
                sess.run(iter.initializer, feed_dict={a_1: valid_images_set, y: valid_labels_set,
                                                      batch_size: len(valid_images_set)})
                _, _, val_acc, val_cost, _ = sess.run([predictions,acct_mat,acct_res, cost, a_3],
                                                      feed_dict = {drop_out : 0.0,set1_mask:set_mask_val})
                val_costs.append(val_cost)
                val_accuracies.append(val_acc)

                if(val_acc>best_val):
                    best_val = val_acc
                    best_params_set1 = [(w_2.eval(),b_2.eval()),(w_3.eval(),b_3.eval())]
                print('validation cost:{} and validation accuracy:{}'.format(val_cost, val_acc))   
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: BATCH_SIZE})


                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                  batch_size: BATCH_SIZE})
                print('Training on :{}'.format(current_set))
                for j in range(n_batches):

                    if(not (np.isnan(w_2.eval().any() and np.isnan(w_3.eval()).any()))):
                        #if(a_set==1):
                        #    print(j, w_2.eval().sum(), w_3.eval().sum())
                        if(((j)% 1000 ==0)):
                            logging_count+=1
                            summary,_,_ = sess.run([merged,step, omega_step], 
                                                 feed_dict = {drop_out:0.0,batch_size: BATCH_SIZE,tau:0.5,
                                                              set1_mask:set_mask_val,eta:0.001,
                                                              lmbda:lmbdas[l],n_tot:train_total})
                            #train_writer.add_summary(summary, (i+1)*j)
                            train_writer.add_summary(summary, logging_count)
                        else:
                            sess.run([step, omega_step],feed_dict = {drop_out:0.0,batch_size:BATCH_SIZE,
                                                                     tau:0.5,set1_mask:set_mask_val,
                                                                     eta:0.001,lmbda:lmbdas[l],
                                                                     n_tot:train_total})
                    else:
                        print('Nan encountered in epoch:{} and batch:{}'.format(i, j))
                #@@print('Epoch time:{}'.format(time.time()-t1))


            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,final_test_acc,_ = sess.run([predictions, acct_res, a_3], 
                                                                  feed_dict = {drop_out:0.0, 
                                                                               set1_mask:set_mask_val})
            #@@print('Final test accuracy is:{}'.format(final_test_acc))
            end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
            #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
            #@@sess.run(update_star_wbs)
            sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
            sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
            
            
            #all_final_test_accs_set1.append(final_test_acc)


            #@@best_step = [tf.assign(w_2,best_params_set1[0][0]), tf.assign(b_2,best_params_set1[0][1]),
            #@@             tf.assign(w_3,best_params_set1[1][0]),tf.assign(b_3,best_params_set1[1][1])]
            #@@sess.run(best_step)
            
            sess.run(w_2_update_op, {w_2_update_placeholder:best_params_set1[0][0]})
            sess.run(b_2_update_op, {b_2_update_placeholder:best_params_set1[0][1]})
            
            sess.run(w_3_update_op, {w_3_update_placeholder:best_params_set1[1][0]})
            sess.run(b_3_update_op, {b_3_update_placeholder:best_params_set1[1][1]})
            
            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,test_acc_corresp_best_val,_ = sess.run([predictions, acct_res, a_3],
                                                     feed_dict = {drop_out:0.0,set1_mask:set_mask_val})

            #@@print('Test accuracy corresp to best val acc:{}'.format(test_acc_corresp_best_val))
            print('Time taken:{}'.format(time.time()-T1))
            #w3_list.append(w_3.eval())
            w3_accum.append(w_3.eval())
            #b3_list.append(b_3.eval())
            b3_accum.append(b_3.eval())
            if(i==epochs-1):
                if(test_acc_corresp_best_val>final_test_acc):
                    end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
                    #all_final_test_accs_set1[-1] = test_acc_corresp_best_val
                    #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
                    #@@sess.run(update_star_wbs)
                    
                    sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
                    sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
                    

                #@@best_step = [tf.assign(w_2,end_w2), tf.assign(b_2,end_b2),
                #@@         tf.assign(w_3,end_w3),tf.assign(b_3,end_b3)]
                #@@sess.run(best_step)
                
                
                sess.run(w_2_update_op, {w_2_update_placeholder:end_w2})
                sess.run(b_2_update_op, {b_2_update_placeholder:end_b2})
                
                sess.run(w_3_update_op, {w_3_update_placeholder:end_w3})
                sess.run(b_3_update_op, {b_3_update_placeholder:end_b3})

                first_params_set = [(start_w2, start_b2)]
                last_params_set = [(end_w2, end_b2)]

                small_omegas = [(w2_grad_accum.eval(),b2_grad_accum.eval())]

                delta_ws = map(lambda x,y: np.square(x-y)+zeta,[item[0] for item in last_params_set],
                           [item[0] for item in first_params_set])

                delta_bs = map(lambda x,y: np.square(x-y)+zeta,[item[1] for item in last_params_set],
                           [item[1] for item in first_params_set])
                delta_wbs = zip(delta_ws, delta_bs)

                big_omegas_ws = map(lambda x,y: (x/y),[item[0] for item in small_omegas],
                           [item[0] for item in delta_wbs])            
                big_omegas_bs = map(lambda x,y: (x/y),[item[1] for item in small_omegas],
                           [item[1] for item in delta_wbs])

                big_omegas = zip(big_omegas_ws, big_omegas_bs)
                new_big_omeg_w2 += big_omegas[0][0]
                new_big_omeg_b2 += big_omegas[0][1]
                #@@print('omegW2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_w2.max(),
                #@@                                                new_big_omeg_w2.mean(),
                #@@                                                new_big_omeg_w2.std()))
                #@@print('omegb2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_b2.max(),
                #@@                                                new_big_omeg_b2.mean(),
                #@@                                                new_big_omeg_b2.std()))

        historical_train_accuracies[current_set_name]=train_accuracies
        historical_train_costs[current_set_name]=train_costs
        historical_val_accuracies[current_set_name]=val_accuracies
        historical_val_costs[current_set_name]=val_costs
    
    #######Method 3 ###########
    w3_set_rows = []
    offset=0
    for item in w3_accum:
        w3_set_rows.append(item[:,offset:offset+2])
        offset+=2


    w3_set_row_avgs = [item.mean() for item in w3_set_rows]
    final_w3 = map(lambda x,y:x-y,w3_set_rows, w3_set_row_avgs)
    final_w3 = np.concatenate(final_w3, axis=1)

    b3_set_rows = []
    offset=0
    for item in b3_accum:
        b3_set_rows.append(item[:,offset:offset+2])
        offset+=2
    b3_set_row_avgs = [item.mean() for item in b3_set_rows]
    final_b3 = map(lambda x,y:x-y,b3_set_rows, b3_set_row_avgs)
    final_b3 = np.concatenate(final_b3, axis=1)

    #@@set_w3 = [tf.assign(w_3, final_w3), tf.assign(b_3, final_b3)]
    #@@sess.run(set_w3)
    sess.run(w_3_update_op, {w_3_update_placeholder:final_w3})
    sess.run(b_3_update_op, {b_3_update_placeholder:final_b3})

    sess.run(iter.initializer, feed_dict={a_1: test_images, y: to_categorical(test_labels,num_classes=num_classes),
                                                      batch_size: len(test_images)})
    _,final_test_acc,_ = sess.run([predictions, acct_res, a_3],
                                  feed_dict = {drop_out:0.0,set1_mask:set_mask_val})
    method3_test_accs.append(final_test_acc)
    print('Method 3 test accuracy:{}'.format(final_test_acc))
    
    
train_writer.close()
print('Total time:{}'.format(time.time()-START_TIME))
Training with lmbda:0, 0
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.223329275846 and training accuracy:0.997657477856
validation cost:0.217609897256 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0588664598763 and training accuracy:0.99809128046
validation cost:0.0582027807832 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.0329026244581 and training accuracy:0.998264789581
validation cost:0.0331324525177 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.023102754727 and training accuracy:0.998611807823
validation cost:0.0236389841884 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0179823227227 and training accuracy:0.998785376549
validation cost:0.0186521094292 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0148221068084 and training accuracy:0.998872101307
validation cost:0.0155552858487 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0126652261242 and training accuracy:0.99895888567
validation cost:0.01342903357 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0110910469666 and training accuracy:0.99895888567
validation cost:0.0118674216792 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.00988608878106 and training accuracy:0.999132394791
validation cost:0.0106639899313 and validation accuracy:0.998244047165
Training on :(0, 1)
Time taken:134.818016052
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.360579758883 and training accuracy:0.934915006161
validation cost:0.366988688707 and validation accuracy:0.936580896378
Training on :(2, 3)
training cost:0.176190719008 and training accuracy:0.958094716072
validation cost:0.182327464223 and validation accuracy:0.954044103622
Training on :(2, 3)
training cost:0.120868973434 and training accuracy:0.969093739986
validation cost:0.127899214625 and validation accuracy:0.966911792755
Training on :(2, 3)
training cost:0.0940565243363 and training accuracy:0.975456774235
validation cost:0.10124284029 and validation accuracy:0.971507370472
Training on :(2, 3)
training cost:0.0779117867351 and training accuracy:0.978456497192
validation cost:0.0847291350365 and validation accuracy:0.974264681339
Training on :(2, 3)
training cost:0.0669855996966 and training accuracy:0.981819808483
validation cost:0.0732256993651 and validation accuracy:0.977941155434
Training on :(2, 3)
training cost:0.0590222999454 and training accuracy:0.983456075191
validation cost:0.0646186545491 and validation accuracy:0.979779422283
Training on :(2, 3)
training cost:0.0529175139964 and training accuracy:0.985183179379
validation cost:0.0578845217824 and validation accuracy:0.982536792755
Training on :(2, 3)
training cost:0.04806323722 and training accuracy:0.986364901066
validation cost:0.0524483658373 and validation accuracy:0.983455896378
Training on :(2, 3)
Time taken:130.100168943
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.217629268765 and training accuracy:0.97921949625
validation cost:0.218148618937 and validation accuracy:0.985192477703
Training on :(4, 5)
training cost:0.0974639952183 and training accuracy:0.990341484547
validation cost:0.0916447117925 and validation accuracy:0.995064139366
Training on :(4, 5)
training cost:0.0610082633793 and training accuracy:0.994146347046
validation cost:0.0536370389163 and validation accuracy:0.998025655746
Training on :(4, 5)
training cost:0.0443231239915 and training accuracy:0.99590241909
validation cost:0.0367065370083 and validation accuracy:0.999012827873
Training on :(4, 5)
training cost:0.0349110253155 and training accuracy:0.996195137501
validation cost:0.0274240188301 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0288931559771 and training accuracy:0.996390223503
validation cost:0.0216537415981 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0247139781713 and training accuracy:0.996487796307
validation cost:0.0177568681538 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0216373112053 and training accuracy:0.996682941914
validation cost:0.0149661740288 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.019272049889 and training accuracy:0.997073173523
validation cost:0.0128794498742 and validation accuracy:1.0
Training on :(4, 5)
Time taken:119.067508936
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(6, 7)
training cost:0.151656508446 and training accuracy:0.98737257719
validation cost:0.145524710417 and validation accuracy:0.98631387949
Training on :(6, 7)
training cost:0.0638237595558 and training accuracy:0.993325531483
validation cost:0.0611358545721 and validation accuracy:0.992700755596
Training on :(6, 7)
training cost:0.0398089848459 and training accuracy:0.995850980282
validation cost:0.0380516797304 and validation accuracy:0.995437979698
Training on :(6, 7)
training cost:0.0289002507925 and training accuracy:0.996933341026
validation cost:0.0274686124176 and validation accuracy:0.997262775898
Training on :(6, 7)
training cost:0.0226961262524 and training accuracy:0.997654914856
validation cost:0.0213998220861 and validation accuracy:0.9981752038
Training on :(6, 7)
training cost:0.0186950284988 and training accuracy:0.998015701771
validation cost:0.0174691136926 and validation accuracy:0.9981752038
Training on :(6, 7)
training cost:0.0158997606486 and training accuracy:0.998286306858
validation cost:0.014717518352 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.0138351758942 and training accuracy:0.998466670513
validation cost:0.0126881599426 and validation accuracy:1.0
Training on :(6, 7)
training cost:0.0122469142079 and training accuracy:0.998827457428
validation cost:0.0111321751028 and validation accuracy:1.0
Training on :(6, 7)
Time taken:123.717694998
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.217926025391 and training accuracy:0.94952505827
validation cost:0.220475539565 and validation accuracy:0.944444417953
Training on :(8, 9)
training cost:0.136503621936 and training accuracy:0.963028490543
validation cost:0.139507696033 and validation accuracy:0.958568751812
Training on :(8, 9)
training cost:0.104578927159 and training accuracy:0.969361126423
validation cost:0.108049310744 and validation accuracy:0.967043340206
Training on :(8, 9)
training cost:0.0861355289817 and training accuracy:0.974296867847
validation cost:0.0895406752825 and validation accuracy:0.975517868996
Training on :(8, 9)
training cost:0.0736218318343 and training accuracy:0.978301346302
validation cost:0.0766408592463 and validation accuracy:0.979284346104
Training on :(8, 9)
training cost:0.0644264519215 and training accuracy:0.980350136757
validation cost:0.0669165104628 and validation accuracy:0.98116761446
Training on :(8, 9)
training cost:0.0573468096554 and training accuracy:0.983050823212
validation cost:0.0592649653554 and validation accuracy:0.985875725746
Training on :(8, 9)
training cost:0.0517177283764 and training accuracy:0.985006511211
validation cost:0.0530807264149 and validation accuracy:0.988700568676
Training on :(8, 9)
training cost:0.0471327267587 and training accuracy:0.986496567726
validation cost:0.047990180552 and validation accuracy:0.990583777428
Training on :(8, 9)
Time taken:117.707244873
Method 3 test accuracy:0.729499995708
Training with lmbda:75117.9714048, 1
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.223329275846 and training accuracy:0.997657477856
validation cost:0.217609897256 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0588664598763 and training accuracy:0.99809128046
validation cost:0.0582027807832 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.0329026244581 and training accuracy:0.998264789581
validation cost:0.0331324525177 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.023102754727 and training accuracy:0.998611807823
validation cost:0.0236389841884 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0179823227227 and training accuracy:0.998785376549
validation cost:0.0186521094292 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0148221068084 and training accuracy:0.998872101307
validation cost:0.0155552858487 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0126652261242 and training accuracy:0.99895888567
validation cost:0.01342903357 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0110910469666 and training accuracy:0.99895888567
validation cost:0.0118674216792 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.00988608878106 and training accuracy:0.999132394791
validation cost:0.0106639899313 and validation accuracy:0.998244047165
Training on :(0, 1)
Time taken:128.995737791
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.362590193748 and training accuracy:0.935005903244
validation cost:0.36897289753 and validation accuracy:0.936580896378
Training on :(2, 3)
training cost:0.178261309862 and training accuracy:0.958185613155
validation cost:0.18428838253 and validation accuracy:0.954044103622
Training on :(2, 3)
training cost:0.122914329171 and training accuracy:0.96918463707
validation cost:0.129767850041 and validation accuracy:0.966911792755
Training on :(2, 3)
training cost:0.0961120799184 and training accuracy:0.975456774235
validation cost:0.103104017675 and validation accuracy:0.971507370472
Training on :(2, 3)
training cost:0.0799847692251 and training accuracy:0.978729188442
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:131.614783049
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.808799982071
Training with lmbda:78039.2280196, 3
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:127.962558031
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:120.335520983
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:81959.2346273, 7
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.809000015259
Training with lmbda:85612.9397687, 8
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Length of test labels:1874
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:75117.9714048, 16
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:121.311493158
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:79633.2054888, 20
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:80230.0530529, 21
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
training cost:0.0167813431472 and training accuracy:0.999188244343
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Training on :(6, 7)
Time taken:121.592242002
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:89377.3332357, 40
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:0, 45
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:120.690262079
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:117.19957304
Method 3 test accuracy:0.788299977779
Training with lmbda:78417.6647421, 49
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0490231961012 and training accuracy:0.987364768982
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Repeat:0
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.788299977779
Training with lmbda:79633.2054888, 50
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Valid features:(1088, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Repeat:0
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Repeat:0
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.787999987602
Training with lmbda:80230.0530529, 51
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
training cost:0.00993795134127 and training accuracy:0.998872101307
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
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Valid features:(1088, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:85612.9397687, 53
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:117.150444984
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Training with lmbda:97283.0488578, 59
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:119.631369114
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
training cost:0.0269028358161 and training accuracy:0.99726831913
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.787100017071
Training with lmbda:0, 60
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Valid features:(1088, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:117.40675807
Method 3 test accuracy:0.717700004578
Training with lmbda:75117.9714048, 61
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Valid features:(1088, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.771799981594
Training with lmbda:78039.2280196, 63
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:80230.0530529, 66
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:78039.2280196, 78
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:79633.2054888, 80
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:89377.3332357, 85
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:91768.7271182, 86
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.788500010967
Training with lmbda:96119.403308, 88
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Length of train labels:11087
Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:0, 90
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:75117.9714048, 91
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:0, 105
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:75117.9714048, 106
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:78039.2280196, 108
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:78417.6647421, 109
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.761099994183
Training with lmbda:79633.2054888, 110
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.76130002737
Training with lmbda:80230.0530529, 111
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:89377.3332357, 115
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:117.383713007
Method 3 test accuracy:0.763800024986
Training with lmbda:91768.7271182, 116
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:0, 120
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.734600007534
Training with lmbda:75117.9714048, 121
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
Time taken:112.897659063
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.753300011158
Training with lmbda:89377.3332357, 145
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:118.791838884
Method 3 test accuracy:0.754000008106
Training with lmbda:91768.7271182, 146
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
training cost:0.0269660707563 and training accuracy:0.997170746326
validation cost:0.021060872823 and validation accuracy:1.0
Training on :(4, 5)
Time taken:121.357002974
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(6, 7)
training cost:0.160160392523 and training accuracy:0.991431415081
validation cost:0.153138846159 and validation accuracy:0.991788327694
Training on :(6, 7)
training cost:0.0707712396979 and training accuracy:0.995670616627
validation cost:0.067348189652 and validation accuracy:0.997262775898
Training on :(6, 7)
training cost:0.0464226379991 and training accuracy:0.997203946114
validation cost:0.0440162606537 and validation accuracy:0.997262775898
Training on :(6, 7)
training cost:0.0352779142559 and training accuracy:0.997745096684
validation cost:0.033265132457 and validation accuracy:0.997262775898
Training on :(6, 7)
training cost:0.0288677290082 and training accuracy:0.998286306858
validation cost:0.0270510427654 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.0246789492667 and training accuracy:0.998647093773
validation cost:0.0229823924601 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.0217098034918 and training accuracy:0.9987372756
validation cost:0.0200980249792 and validation accuracy:1.0
Training on :(6, 7)
training cost:0.0194845441729 and training accuracy:0.998827457428
validation cost:0.0179396793246 and validation accuracy:1.0
Training on :(6, 7)
training cost:0.0177472662181 and training accuracy:0.998827457428
validation cost:0.0162594933063 and validation accuracy:1.0
Training on :(6, 7)
Time taken:132.92354393
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.222079575062 and training accuracy:0.956137061119
validation cost:0.224460929632 and validation accuracy:0.948210895061
Training on :(8, 9)
training cost:0.137207388878 and training accuracy:0.964984178543
validation cost:0.140238374472 and validation accuracy:0.96516007185
Training on :(8, 9)
training cost:0.106464833021 and training accuracy:0.971223711967
validation cost:0.109690360725 and validation accuracy:0.972693026066
Training on :(8, 9)
training cost:0.0893251374364 and training accuracy:0.975321292877
validation cost:0.0923881307244 and validation accuracy:0.976459503174
Training on :(8, 9)
training cost:0.0779189765453 and training accuracy:0.978115081787
validation cost:0.0806563273072 and validation accuracy:0.98116761446
Training on :(8, 9)
training cost:0.0696142762899 and training accuracy:0.980443298817
validation cost:0.0719729363918 and validation accuracy:0.983050823212
Training on :(8, 9)
training cost:0.0632329583168 and training accuracy:0.982305824757
validation cost:0.0652115494013 and validation accuracy:0.984934091568
Training on :(8, 9)
training cost:0.0581506341696 and training accuracy:0.983795881271
validation cost:0.0597777292132 and validation accuracy:0.985875725746
Training on :(8, 9)
training cost:0.0539921224117 and training accuracy:0.985285878181
validation cost:0.0553047172725 and validation accuracy:0.987758934498
Training on :(8, 9)
Time taken:127.242937803
Method 3 test accuracy:0.758700013161
Training with lmbda:97283.0488578, 149
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.203907415271 and training accuracy:0.997570693493
validation cost:0.201984629035 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0566555894911 and training accuracy:0.99809128046
validation cost:0.0579187460244 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0322347804904 and training accuracy:0.998351573944
validation cost:0.0339787490666 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0228093471378 and training accuracy:0.998525083065
validation cost:0.0246704109013 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0178289748728 and training accuracy:0.998525083065
validation cost:0.0197088513523 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0147348884493 and training accuracy:0.998698592186
validation cost:0.0165966041386 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0126142920926 and training accuracy:0.998698592186
validation cost:0.0144430585206 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.011062421836 and training accuracy:0.998872101307
validation cost:0.0128502687439 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.00987247936428 and training accuracy:0.99895888567
validation cost:0.0116164442152 and validation accuracy:0.997366130352
Training on :(0, 1)
Time taken:143.876137018
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.364260882139 and training accuracy:0.940914452076
validation cost:0.368607312441 and validation accuracy:0.944852948189
Training on :(2, 3)
training cost:0.176007464528 and training accuracy:0.960730850697
validation cost:0.179690614343 and validation accuracy:0.957720577717
Training on :(2, 3)
training cost:0.120924897492 and training accuracy:0.971366226673
validation cost:0.124957405031 and validation accuracy:0.967830896378
Training on :(2, 3)
training cost:0.0945963561535 and training accuracy:0.975184082985
validation cost:0.0986141562462 and validation accuracy:0.970588207245
Training on :(2, 3)
training cost:0.0788337662816 and training accuracy:0.980001807213
validation cost:0.0825601294637 and validation accuracy:0.978860318661
Training on :(2, 3)
training cost:0.0681786239147 and training accuracy:0.982728838921
validation cost:0.0715033859015 and validation accuracy:0.980698525906
Training on :(2, 3)
training cost:0.0604105778039 and training accuracy:0.984819591045
validation cost:0.0633140131831 and validation accuracy:0.981617629528
Training on :(2, 3)
training cost:0.0544465221465 and training accuracy:0.986274003983
validation cost:0.0569427534938 and validation accuracy:0.984375
Training on :(2, 3)
training cost:0.0496923103929 and training accuracy:0.987637460232
validation cost:0.0518095903099 and validation accuracy:0.987132370472
Training on :(2, 3)
Time taken:127.151309013
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.236995860934 and training accuracy:0.980292677879
validation cost:0.239468246698 and validation accuracy:0.985192477703
Training on :(4, 5)
training cost:0.111092835665 and training accuracy:0.989853680134
validation cost:0.10701469332 and validation accuracy:0.994077026844
Training on :(4, 5)
training cost:0.0728179514408 and training accuracy:0.993951201439
validation cost:0.0668704286218 and validation accuracy:0.998025655746
Training on :(4, 5)
training cost:0.0549845770001 and training accuracy:0.995024383068
validation cost:0.0485279411077 and validation accuracy:0.999012827873
Training on :(4, 5)
training cost:0.044721595943 and training accuracy:0.995414614677
validation cost:0.038197863847 and validation accuracy:0.999012827873
Training on :(4, 5)
training cost:0.0380314141512 and training accuracy:0.996097564697
validation cost:0.0316017307341 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0333021916449 and training accuracy:0.996292710304
validation cost:0.027029691264 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0297655649483 and training accuracy:0.996682941914
validation cost:0.0236742515117 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0270097125322 and training accuracy:0.997170746326
validation cost:0.0211053919047 and validation accuracy:1.0
Training on :(4, 5)
Time taken:120.229645014
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(6, 7)
training cost:0.160269021988 and training accuracy:0.991431415081
validation cost:0.15324446559 and validation accuracy:0.991788327694
Training on :(6, 7)
training cost:0.0708465278149 and training accuracy:0.995670616627
validation cost:0.0674203410745 and validation accuracy:0.997262775898
Training on :(6, 7)
training cost:0.0464867725968 and training accuracy:0.997203946114
validation cost:0.0440776720643 and validation accuracy:0.997262775898
Training on :(6, 7)
training cost:0.0353352278471 and training accuracy:0.997745096684
validation cost:0.0333201810718 and validation accuracy:0.997262775898
Training on :(6, 7)
training cost:0.0289199352264 and training accuracy:0.998286306858
validation cost:0.0271013639867 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.0247270632535 and training accuracy:0.998647093773
validation cost:0.0230289194733 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.0217546410859 and training accuracy:0.9987372756
validation cost:0.0201414357871 and validation accuracy:1.0
Training on :(6, 7)
training cost:0.0195266827941 and training accuracy:0.998827457428
validation cost:0.017980504781 and validation accuracy:1.0
Training on :(6, 7)
training cost:0.017786944285 and training accuracy:0.998827457428
validation cost:0.016297949478 and validation accuracy:1.0
Training on :(6, 7)
Time taken:140.783217907
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.222183570266 and training accuracy:0.956137061119
validation cost:0.224563091993 and validation accuracy:0.948210895061
Training on :(8, 9)
training cost:0.137267515063 and training accuracy:0.964984178543
validation cost:0.140296772122 and validation accuracy:0.96516007185
Training on :(8, 9)
training cost:0.106519706547 and training accuracy:0.971223711967
validation cost:0.109743215144 and validation accuracy:0.972693026066
Training on :(8, 9)
training cost:0.0893808379769 and training accuracy:0.975321292877
validation cost:0.0924418196082 and validation accuracy:0.976459503174
Training on :(8, 9)
training cost:0.0779767930508 and training accuracy:0.978115081787
validation cost:0.0807129666209 and validation accuracy:0.98116761446
Training on :(8, 9)
training cost:0.069674089551 and training accuracy:0.980443298817
validation cost:0.0720321163535 and validation accuracy:0.983050823212
Training on :(8, 9)
training cost:0.0632944405079 and training accuracy:0.982305824757
validation cost:0.065273463726 and validation accuracy:0.984934091568
Training on :(8, 9)
training cost:0.0582133978605 and training accuracy:0.983795881271
validation cost:0.0598418228328 and validation accuracy:0.985875725746
Training on :(8, 9)
training cost:0.0540557429194 and training accuracy:0.985379040241
validation cost:0.0553705245256 and validation accuracy:0.987758934498
Training on :(8, 9)
Time taken:132.073575974
Method 3 test accuracy:0.759000003338
Total time:90175.8174529

Final accuracies

In [17]:
final_test_acc = pd.DataFrame({'Method3':method3_test_accs, 'lambdas':lmbdas})
final_test_acc.to_csv('spike_sh_14lmbdas_ar1_3lyrs_he1_75_10_non_spike_claasify.csv')
final_test_acc
Out[17]:
Method3 lambdas
0 0.7295 0.000000
1 0.8091 75117.971405
2 0.8088 77709.422262
3 0.8087 78039.228020
4 0.8086 78417.664742
5 0.8084 79633.205489
6 0.8087 80230.053053
7 0.8090 81959.234627
8 0.8095 85612.939769
9 0.8107 88585.123545
10 0.8050 89377.333236
11 0.8054 91768.727118
12 0.8060 95646.318878
13 0.8064 96119.403308
14 0.8065 97283.048858
15 0.7188 0.000000
16 0.7694 75117.971405
17 0.7701 77709.422262
18 0.7701 78039.228020
19 0.7700 78417.664742
20 0.7702 79633.205489
21 0.7703 80230.053053
22 0.7705 81959.234627
23 0.7785 85612.939769
24 0.7786 88585.123545
25 0.7790 89377.333236
26 0.7794 91768.727118
27 0.7811 95646.318878
28 0.7813 96119.403308
29 0.7817 97283.048858
... ... ...
120 0.7346 0.000000
121 0.8158 75117.971405
122 0.8171 77709.422262
123 0.8173 78039.228020
124 0.8173 78417.664742
125 0.8177 79633.205489
126 0.8182 80230.053053
127 0.8185 81959.234627
128 0.8193 85612.939769
129 0.8197 88585.123545
130 0.8197 89377.333236
131 0.8201 91768.727118
132 0.8227 95646.318878
133 0.8229 96119.403308
134 0.8230 97283.048858
135 0.6867 0.000000
136 0.7575 75117.971405
137 0.7619 77709.422262
138 0.7621 78039.228020
139 0.7621 78417.664742
140 0.7621 79633.205489
141 0.7623 80230.053053
142 0.7521 81959.234627
143 0.7530 85612.939769
144 0.7533 88585.123545
145 0.7540 89377.333236
146 0.7543 91768.727118
147 0.7586 95646.318878
148 0.7587 96119.403308
149 0.7590 97283.048858

150 rows × 2 columns

Groupby $\lambda$

In [18]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
final_acc_grouped_by_lmbda = acc_grouped_by_lmbda.mean()
final_acc_grouped_by_lmbda.rename(columns={'Method3':'MEAN'}, inplace=True)
final_acc_grouped_by_lmbda['S.D'] = acc_grouped_by_lmbda.std()
final_acc_grouped_by_lmbda['MIN'] = acc_grouped_by_lmbda.min()
final_acc_grouped_by_lmbda['MAX'] = acc_grouped_by_lmbda.max()
final_acc_grouped_by_lmbda['MED'] = acc_grouped_by_lmbda.median()
final_acc_grouped_by_lmbda.reset_index(inplace=True)
display(final_acc_grouped_by_lmbda)
lambdas MEAN S.D MIN MAX MED
0 0.000000 0.71909 0.013358 0.6867 0.7346 0.72165
1 75117.971405 0.78152 0.020727 0.7575 0.8158 0.77810
2 77709.422262 0.78250 0.020241 0.7608 0.8171 0.77825
3 78039.228020 0.78257 0.020269 0.7609 0.8173 0.77825
4 78417.664742 0.78260 0.020226 0.7611 0.8173 0.77825
5 79633.205489 0.78272 0.020203 0.7613 0.8177 0.77845
6 80230.053053 0.78300 0.020283 0.7614 0.8182 0.77885
7 81959.234627 0.78297 0.022364 0.7521 0.8185 0.77900
8 85612.939769 0.78450 0.021875 0.7530 0.8193 0.78235
9 88585.123545 0.78518 0.022124 0.7533 0.8197 0.78265
10 89377.333236 0.78485 0.021290 0.7540 0.8197 0.78310
11 91768.727118 0.78598 0.022291 0.7543 0.8201 0.78355
12 95646.318878 0.78604 0.020861 0.7586 0.8227 0.78410
13 96119.403308 0.78622 0.020912 0.7587 0.8229 0.78425
14 97283.048858 0.78645 0.020718 0.7590 0.8230 0.78440

Plots

In [19]:
mpl.rcParams['figure.figsize'] = 7,4.5
mpl.rcParams['axes.labelsize'] = 12
mpl.rcParams['lines.linewidth'] = 1.5
mpl.rcParams['lines.markersize'] = 8
mpl.rcParams['xtick.labelsize'] = 13
mpl.rcParams['ytick.labelsize'] = 12
mpl.rcParams['legend.fontsize'] = 12

final_acc_grouped_by_lmbda.plot(y=['MEAN','MED','MAX'],x='lambdas')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ylabel('Accuracy')
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Some histograms

W_2

In [20]:
plt.hist(w_2.eval().flatten(), 100)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Omega_W_2

In [21]:
plt.hist(new_big_omeg_w2.flatten(),bins=100,log=True)
#plt.yscale('log')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

b_2

In [23]:
plt.hist(b_2.eval().flatten(), 100)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Omega_b_2

In [24]:
plt.hist(new_big_omeg_b2.flatten(),100,log=True)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

W_3

In [22]:
plt.hist(w_3.eval().flatten(), 100)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

b_2

In [25]:
plt.hist(b_3.eval().flatten(), 10)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Init the writer with $\lambda$s (10.0, 20.0) non-spk classification

In [10]:
path = '/home/ruthvik/Desktop/Summer 2017/tf_graph_outputs/mnist/continual_learning/original_mnist_5sets'
merged = tf.summary.merge_all()
train_writer = tf.summary.FileWriter(path + '/spike_sh_14lmbdas_ar1_3lyrs_he1_10_20_non_spk_classify', sess.graph)

Generate $\lambda$s

In [11]:
np.random.seed(100)
n_lmbdas = 14
a = np.random.uniform(low=10.0, high=20.0, size=(n_lmbdas,))
print(a)
print()
a = a*1.0e4
a = a[np.argsort(a)]
print(a)
print()
n_reps = 10
a = ([0]+a.tolist())*n_reps
n_lmbdas+=1
print(a, len(a))
[15.43404942 12.78369385 14.24517591 18.44776132 10.04718856 11.21569121
 16.70749085 18.25852755 11.3670659  15.75093329 18.91321954 12.09202122
 11.8532822  11.0837689 ]
()
[100471.8856191  110837.68904643 112156.91207831 113670.6589685
 118532.82195501 120920.21221172 127836.93850938 142451.75907491
 154340.4941791  157509.33294272 167074.90847268 182585.2755105
 184477.61323199 189132.19543123]
()
([0, 100471.88561909726, 110837.68904642553, 112156.91207831142, 113670.65896849529, 118532.8219550075, 120920.21221171896, 127836.93850937962, 142451.7590749133, 154340.49417909654, 157509.33294272498, 167074.90847267784, 182585.27551050478, 184477.6132319904, 189132.1954312264, 0, 100471.88561909726, 110837.68904642553, 112156.91207831142, 113670.65896849529, 118532.8219550075, 120920.21221171896, 127836.93850937962, 142451.7590749133, 154340.49417909654, 157509.33294272498, 167074.90847267784, 182585.27551050478, 184477.6132319904, 189132.1954312264, 0, 100471.88561909726, 110837.68904642553, 112156.91207831142, 113670.65896849529, 118532.8219550075, 120920.21221171896, 127836.93850937962, 142451.7590749133, 154340.49417909654, 157509.33294272498, 167074.90847267784, 182585.27551050478, 184477.6132319904, 189132.1954312264, 0, 100471.88561909726, 110837.68904642553, 112156.91207831142, 113670.65896849529, 118532.8219550075, 120920.21221171896, 127836.93850937962, 142451.7590749133, 154340.49417909654, 157509.33294272498, 167074.90847267784, 182585.27551050478, 184477.6132319904, 189132.1954312264, 0, 100471.88561909726, 110837.68904642553, 112156.91207831142, 113670.65896849529, 118532.8219550075, 120920.21221171896, 127836.93850937962, 142451.7590749133, 154340.49417909654, 157509.33294272498, 167074.90847267784, 182585.27551050478, 184477.6132319904, 189132.1954312264, 0, 100471.88561909726, 110837.68904642553, 112156.91207831142, 113670.65896849529, 118532.8219550075, 120920.21221171896, 127836.93850937962, 142451.7590749133, 154340.49417909654, 157509.33294272498, 167074.90847267784, 182585.27551050478, 184477.6132319904, 189132.1954312264, 0, 100471.88561909726, 110837.68904642553, 112156.91207831142, 113670.65896849529, 118532.8219550075, 120920.21221171896, 127836.93850937962, 142451.7590749133, 154340.49417909654, 157509.33294272498, 167074.90847267784, 182585.27551050478, 184477.6132319904, 189132.1954312264, 0, 100471.88561909726, 110837.68904642553, 112156.91207831142, 113670.65896849529, 118532.8219550075, 120920.21221171896, 127836.93850937962, 142451.7590749133, 154340.49417909654, 157509.33294272498, 167074.90847267784, 182585.27551050478, 184477.6132319904, 189132.1954312264, 0, 100471.88561909726, 110837.68904642553, 112156.91207831142, 113670.65896849529, 118532.8219550075, 120920.21221171896, 127836.93850937962, 142451.7590749133, 154340.49417909654, 157509.33294272498, 167074.90847267784, 182585.27551050478, 184477.6132319904, 189132.1954312264, 0, 100471.88561909726, 110837.68904642553, 112156.91207831142, 113670.65896849529, 118532.8219550075, 120920.21221171896, 127836.93850937962, 142451.7590749133, 154340.49417909654, 157509.33294272498, 167074.90847267784, 182585.27551050478, 184477.6132319904, 189132.1954312264], 150)

Generate random weights

In [12]:
lmbdas = a
np.random.seed(0)
np_weights = []
low = -np.sqrt(2.0/(n_input)) # use 4 for sigmoid, 1 for tanh activation 
high = np.sqrt(2.0/(n_input))
for i in range(n_reps):
    np_weights.append(np.random.uniform(low=low,high=high,size=(n_input,n_middle)))

np_weights=[item for item in np_weights for i in range(n_lmbdas)]
print(len(np_weights), len(lmbdas))
(150, 150)
In [13]:
np.array_equal(np_weights[0], np_weights[14])
Out[13]:
True
In [14]:
np.array_equal(np_weights[0], np_weights[15])
Out[14]:
False

Commence training

In [15]:
START_TIME = time.time()
method3_test_accs = []
#INITIALIZE THE NETWORK
logging_count = 0
sess.run(init_op,options=run_options, run_metadata=run_metadata)
sess.graph.finalize()
for l in range(len(lmbdas)):
    print('Training with lmbda:{}, {}'.format(lmbdas[l], l))
    #sess.run(init_op,options=run_options, run_metadata=run_metadata)
    zeta = 1e-3
    new_big_omeg_w2 = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    new_big_omeg_b2 = np.zeros(shape=[1,n_middle], dtype=np.float32)
    w3_zeros = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    b3_zeros = np.zeros(shape=[1,n_out], dtype=np.float32)
    w3_accum = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    w3_accum = []
    b3_accum = np.zeros(shape=[1,n_out], dtype=np.float32)
    b3_accum = []
    reset_w2_grad_accum = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    reset_b2_grad_accum = np.zeros(shape=[1,n_middle], dtype=np.float32)

    start_w2 = None
    start_b2 = None
    sess.run(w_2_update_op, {w_2_update_placeholder:np_weights[l]})
    sess.run(b_2_update_op, {b_2_update_placeholder:np.zeros(shape=[1,n_middle],dtype=np.float32)})
    end_w2 = None
    end_b2 = None

    old_test_data = []
    historical_cross_test_acc = {}
    historical_train_accuracies = {}
    historical_train_costs = {}
    historical_val_accuracies = {}
    historical_val_costs = {}
    sets = [(0,1), (2,3), (4,5), (6,7), (8,9)]
    #sets = [(0,4),(5,9)]
    test_labels_set = []
    
    n_test_samples = []
    for a_set in range(len(sets)):
        current_set = sets[a_set]
        current_set_name = 'set'+str(a_set)
        mask_val = [0]*num_classes
        for i in range(0, current_set[1]+1):
            mask_val[i]=1
        set_mask_val = np.array(mask_val, dtype=np.float32)
        print('Current mask:{}'.format(set_mask_val))
        train_data_set, valid_data_set, test_data_set = extract_class_data(start=current_set[0],
                                                                      stop=current_set[1])
        train_images_set, train_labels_set = train_data_set[0], train_data_set[1]
        valid_images_set, valid_labels_set = valid_data_set[0], valid_data_set[1]
        test_images_set, test_labels_set = test_data_set[0], test_data_set[1]
        n_test_samples.append(len(test_labels_set))
        train_total = len(train_images_set)
        n_batches = len(train_images_set)/BATCH_SIZE
        #@@print('Number of batches:{}'.format(n_batches))


        #@@set_omegas = [tf.assign(big_omeg_w2, new_big_omeg_w2), tf.assign(big_omeg_b2, new_big_omeg_b2)]
        #@@sess.run(set_omegas)
        
        sess.run(big_omeg_w2_update_op, {big_omeg_w2_update_placeholder:new_big_omeg_w2})
        sess.run(big_omeg_b2_update_op, {big_omeg_b2_update_placeholder:new_big_omeg_b2})

        #@@reset_grad_accums = [tf.assign(w2_grad_accum, reset_w2_grad_accum),
        #@@                     tf.assign(b2_grad_accum, reset_b2_grad_accum)]
        #@@sess.run(reset_grad_accums)
        
        sess.run(w2_grad_accum_update_op, {w2_grad_accum_update_placeholder:reset_w2_grad_accum})
        sess.run(b2_grad_accum_update_op, {b2_grad_accum_update_placeholder:reset_b2_grad_accum})

        
        #@@reset_w3 = [tf.assign(w_3, w3_zeros), tf.assign(b_3, b3_zeros)]
        #@@sess.run(reset_w3)
        sess.run(w_3_update_op, {w_3_update_placeholder:w3_zeros})
        sess.run(b_3_update_op, {b_3_update_placeholder:b3_zeros})
    
        epochs = 10
        repeats = 1

        for repeat in range(repeats):
            #tf.set_random_seed(l)
            print('Repeat:{}'.format(repeat))
            train_accuracies = []
            train_costs = []
            val_accuracies = []
            val_costs = []
            best_val = 0
            first_params_set = None
            last_params_set = None
            T1 = time.time()
            for i in range(epochs):
                if(i==0):
                    start_w2, start_b2 = w_2.eval(), b_2.eval()
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: len(train_images_set)})
                #@@print('Epoch:{}'.format((i)))
                t1 = time.time()

                ### CALCULATE TRAIN COSTS AND TRAIN ACCURACIES
                train_cost, train_accuracy = sess.run([cost, acct_res] ,feed_dict = {drop_out : 0.0, 
                                                                                     set1_mask:set_mask_val})
                train_costs.append(train_cost)
                train_accuracies.append(train_accuracy)
                #train_writer.add_summary(summary,logging_count)

                print('training cost:{} and training accuracy:{}'.format(train_costs[i], train_accuracies[i]))

                ### CALCULATE VALID COSTS AND VALID ACCURACIES
                sess.run(iter.initializer, feed_dict={a_1: valid_images_set, y: valid_labels_set,
                                                      batch_size: len(valid_images_set)})
                _, _, val_acc, val_cost, _ = sess.run([predictions,acct_mat,acct_res, cost, a_3],
                                                      feed_dict = {drop_out : 0.0,set1_mask:set_mask_val})
                val_costs.append(val_cost)
                val_accuracies.append(val_acc)

                if(val_acc>best_val):
                    best_val = val_acc
                    best_params_set1 = [(w_2.eval(),b_2.eval()),(w_3.eval(),b_3.eval())]
                print('validation cost:{} and validation accuracy:{}'.format(val_cost, val_acc))   
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: BATCH_SIZE})


                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                  batch_size: BATCH_SIZE})
                print('Training on :{}'.format(current_set))
                for j in range(n_batches):

                    if(not (np.isnan(w_2.eval().any() and np.isnan(w_3.eval()).any()))):
                        #if(a_set==1):
                        #    print(j, w_2.eval().sum(), w_3.eval().sum())
                        if(((j)% 1000 ==0)):
                            logging_count+=1
                            summary,_,_ = sess.run([merged,step, omega_step], 
                                                 feed_dict = {drop_out:0.0,batch_size: BATCH_SIZE,tau:0.5,
                                                              set1_mask:set_mask_val,eta:0.001,
                                                              lmbda:lmbdas[l],n_tot:train_total})
                            #train_writer.add_summary(summary, (i+1)*j)
                            train_writer.add_summary(summary, logging_count)
                        else:
                            sess.run([step, omega_step],feed_dict = {drop_out:0.0,batch_size:BATCH_SIZE,
                                                                     tau:0.5,set1_mask:set_mask_val,
                                                                     eta:0.001,lmbda:lmbdas[l],
                                                                     n_tot:train_total})
                    else:
                        print('Nan encountered in epoch:{} and batch:{}'.format(i, j))
                #@@print('Epoch time:{}'.format(time.time()-t1))


            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,final_test_acc,_ = sess.run([predictions, acct_res, a_3], 
                                                                  feed_dict = {drop_out:0.0, 
                                                                               set1_mask:set_mask_val})
            #@@print('Final test accuracy is:{}'.format(final_test_acc))
            end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
            #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
            #@@sess.run(update_star_wbs)
            sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
            sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
            
            
            #all_final_test_accs_set1.append(final_test_acc)


            #@@best_step = [tf.assign(w_2,best_params_set1[0][0]), tf.assign(b_2,best_params_set1[0][1]),
            #@@             tf.assign(w_3,best_params_set1[1][0]),tf.assign(b_3,best_params_set1[1][1])]
            #@@sess.run(best_step)
            
            sess.run(w_2_update_op, {w_2_update_placeholder:best_params_set1[0][0]})
            sess.run(b_2_update_op, {b_2_update_placeholder:best_params_set1[0][1]})
            
            sess.run(w_3_update_op, {w_3_update_placeholder:best_params_set1[1][0]})
            sess.run(b_3_update_op, {b_3_update_placeholder:best_params_set1[1][1]})
            
            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,test_acc_corresp_best_val,_ = sess.run([predictions, acct_res, a_3],
                                                     feed_dict = {drop_out:0.0,set1_mask:set_mask_val})

            #@@print('Test accuracy corresp to best val acc:{}'.format(test_acc_corresp_best_val))
            print('Time taken:{}'.format(time.time()-T1))
            #w3_list.append(w_3.eval())
            w3_accum.append(w_3.eval())
            #b3_list.append(b_3.eval())
            b3_accum.append(b_3.eval())
            if(i==epochs-1):
                if(test_acc_corresp_best_val>final_test_acc):
                    end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
                    #all_final_test_accs_set1[-1] = test_acc_corresp_best_val
                    #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
                    #@@sess.run(update_star_wbs)
                    
                    sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
                    sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
                    

                #@@best_step = [tf.assign(w_2,end_w2), tf.assign(b_2,end_b2),
                #@@         tf.assign(w_3,end_w3),tf.assign(b_3,end_b3)]
                #@@sess.run(best_step)
                
                
                sess.run(w_2_update_op, {w_2_update_placeholder:end_w2})
                sess.run(b_2_update_op, {b_2_update_placeholder:end_b2})
                
                sess.run(w_3_update_op, {w_3_update_placeholder:end_w3})
                sess.run(b_3_update_op, {b_3_update_placeholder:end_b3})

                first_params_set = [(start_w2, start_b2)]
                last_params_set = [(end_w2, end_b2)]

                small_omegas = [(w2_grad_accum.eval(),b2_grad_accum.eval())]

                delta_ws = map(lambda x,y: np.square(x-y)+zeta,[item[0] for item in last_params_set],
                           [item[0] for item in first_params_set])

                delta_bs = map(lambda x,y: np.square(x-y)+zeta,[item[1] for item in last_params_set],
                           [item[1] for item in first_params_set])
                delta_wbs = zip(delta_ws, delta_bs)

                big_omegas_ws = map(lambda x,y: (x/y),[item[0] for item in small_omegas],
                           [item[0] for item in delta_wbs])            
                big_omegas_bs = map(lambda x,y: (x/y),[item[1] for item in small_omegas],
                           [item[1] for item in delta_wbs])

                big_omegas = zip(big_omegas_ws, big_omegas_bs)
                new_big_omeg_w2 += big_omegas[0][0]
                new_big_omeg_b2 += big_omegas[0][1]
                #@@print('omegW2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_w2.max(),
                #@@                                                new_big_omeg_w2.mean(),
                #@@                                                new_big_omeg_w2.std()))
                #@@print('omegb2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_b2.max(),
                #@@                                                new_big_omeg_b2.mean(),
                #@@                                                new_big_omeg_b2.std()))

        historical_train_accuracies[current_set_name]=train_accuracies
        historical_train_costs[current_set_name]=train_costs
        historical_val_accuracies[current_set_name]=val_accuracies
        historical_val_costs[current_set_name]=val_costs
    
    #######Method 3 ###########
    w3_set_rows = []
    offset=0
    for item in w3_accum:
        w3_set_rows.append(item[:,offset:offset+2])
        offset+=2


    w3_set_row_avgs = [item.mean() for item in w3_set_rows]
    final_w3 = map(lambda x,y:x-y,w3_set_rows, w3_set_row_avgs)
    final_w3 = np.concatenate(final_w3, axis=1)

    b3_set_rows = []
    offset=0
    for item in b3_accum:
        b3_set_rows.append(item[:,offset:offset+2])
        offset+=2
    b3_set_row_avgs = [item.mean() for item in b3_set_rows]
    final_b3 = map(lambda x,y:x-y,b3_set_rows, b3_set_row_avgs)
    final_b3 = np.concatenate(final_b3, axis=1)

    #@@set_w3 = [tf.assign(w_3, final_w3), tf.assign(b_3, final_b3)]
    #@@sess.run(set_w3)
    sess.run(w_3_update_op, {w_3_update_placeholder:final_w3})
    sess.run(b_3_update_op, {b_3_update_placeholder:final_b3})

    sess.run(iter.initializer, feed_dict={a_1: test_images, y: to_categorical(test_labels,num_classes=num_classes),
                                                      batch_size: len(test_images)})
    _,final_test_acc,_ = sess.run([predictions, acct_res, a_3],
                                  feed_dict = {drop_out:0.0,set1_mask:set_mask_val})
    method3_test_accs.append(final_test_acc)
    print('Method 3 test accuracy:{}'.format(final_test_acc))
    
    
train_writer.close()
print('Total time:{}'.format(time.time()-START_TIME))
Training with lmbda:0, 0
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.223329275846 and training accuracy:0.997657477856
validation cost:0.217609897256 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0588664598763 and training accuracy:0.99809128046
validation cost:0.0582027807832 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.0329026244581 and training accuracy:0.998264789581
validation cost:0.0331324525177 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.023102754727 and training accuracy:0.998611807823
validation cost:0.0236389841884 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0179823227227 and training accuracy:0.998785376549
validation cost:0.0186521094292 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0148221068084 and training accuracy:0.998872101307
validation cost:0.0155552858487 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0126652261242 and training accuracy:0.99895888567
validation cost:0.01342903357 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0110910469666 and training accuracy:0.99895888567
validation cost:0.0118674216792 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.00988608878106 and training accuracy:0.999132394791
validation cost:0.0106639899313 and validation accuracy:0.998244047165
Training on :(0, 1)
Time taken:135.196543932
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.360579758883 and training accuracy:0.934915006161
validation cost:0.366988688707 and validation accuracy:0.936580896378
Training on :(2, 3)
training cost:0.176190719008 and training accuracy:0.958094716072
validation cost:0.182327464223 and validation accuracy:0.954044103622
Training on :(2, 3)
training cost:0.120868973434 and training accuracy:0.969093739986
validation cost:0.127899214625 and validation accuracy:0.966911792755
Training on :(2, 3)
training cost:0.0940565243363 and training accuracy:0.975456774235
validation cost:0.10124284029 and validation accuracy:0.971507370472
Training on :(2, 3)
training cost:0.0779117867351 and training accuracy:0.978456497192
validation cost:0.0847291350365 and validation accuracy:0.974264681339
Training on :(2, 3)
training cost:0.0669855996966 and training accuracy:0.981819808483
validation cost:0.0732256993651 and validation accuracy:0.977941155434
Training on :(2, 3)
training cost:0.0590222999454 and training accuracy:0.983456075191
validation cost:0.0646186545491 and validation accuracy:0.979779422283
Training on :(2, 3)
training cost:0.0529175139964 and training accuracy:0.985183179379
validation cost:0.0578845217824 and validation accuracy:0.982536792755
Training on :(2, 3)
training cost:0.04806323722 and training accuracy:0.986364901066
validation cost:0.0524483658373 and validation accuracy:0.983455896378
Training on :(2, 3)
Time taken:136.096754074
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.217629268765 and training accuracy:0.97921949625
validation cost:0.218148618937 and validation accuracy:0.985192477703
Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:127836.938509, 7
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:110837.689046, 47
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.788800001144
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.775600016117
Training with lmbda:113670.658968, 64
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.775399982929
Training with lmbda:118532.821955, 65
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0508469715714 and training accuracy:0.987455666065
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Training on :(2, 3)
Time taken:124.574669123
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:124.299241066
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:124.807355881
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Repeat:0
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:110837.689046, 77
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
training cost:0.017852474004 and training accuracy:0.999188244343
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Training on :(6, 7)
Time taken:126.311429977
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:182585.275511, 87
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.812300026417
Training with lmbda:113670.658968, 94
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:125.201680183
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:125.365875006
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:123.995715141
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:126.959581852
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:127836.938509, 112
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:154340.494179, 114
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:189132.195431, 119
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:0, 120
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0506649985909 and training accuracy:0.986910283566
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Training on :(2, 3)
Time taken:123.36582303
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:124.360493898
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:120.971503973
Method 3 test accuracy:0.827000021935
Training with lmbda:154340.494179, 129
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:123.21735096
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:124.331182003
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.827600002289
Training with lmbda:157509.332943, 130
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:189132.195431, 134
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:0, 135
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
training cost:0.0583306066692 and training accuracy:0.984261512756
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Training on :(8, 9)
Time taken:128.393730164
Method 3 test accuracy:0.771799981594
Total time:93722.8331778

Final accuracies

In [16]:
final_test_acc = pd.DataFrame({'Method3':method3_test_accs, 'lambdas':lmbdas})
final_test_acc.to_csv('spike_sh_14lmbdas_ar1_3lyrs_he1_10_20_non_spk_classify.csv')
final_test_acc
Out[16]:
Method3 lambdas
0 0.7295 0.000000
1 0.8072 100471.885619
2 0.8090 110837.689046
3 0.8091 112156.912078
4 0.8091 113670.658968
5 0.8097 118532.821955
6 0.8102 120920.212212
7 0.8114 127836.938509
8 0.8123 142451.759075
9 0.8140 154340.494179
10 0.8144 157509.332943
11 0.8140 167074.908473
12 0.8157 182585.275511
13 0.8159 184477.613232
14 0.8163 189132.195431
15 0.7188 0.000000
16 0.7819 100471.885619
17 0.7826 110837.689046
18 0.7827 112156.912078
19 0.7827 113670.658968
20 0.7828 118532.821955
21 0.7832 120920.212212
22 0.7842 127836.938509
23 0.7861 142451.759075
24 0.7873 154340.494179
25 0.7886 157509.332943
26 0.7898 167074.908473
27 0.7904 182585.275511
28 0.7905 184477.613232
29 0.7909 189132.195431
... ... ...
120 0.7346 0.000000
121 0.8228 100471.885619
122 0.8240 110837.689046
123 0.8243 112156.912078
124 0.8243 113670.658968
125 0.8248 118532.821955
126 0.8249 120920.212212
127 0.8257 127836.938509
128 0.8270 142451.759075
129 0.8276 154340.494179
130 0.8276 157509.332943
131 0.8280 167074.908473
132 0.8288 182585.275511
133 0.8291 184477.613232
134 0.8296 189132.195431
135 0.6867 0.000000
136 0.7600 100471.885619
137 0.7626 110837.689046
138 0.7631 112156.912078
139 0.7635 113670.658968
140 0.7638 118532.821955
141 0.7643 120920.212212
142 0.7647 127836.938509
143 0.7671 142451.759075
144 0.7692 154340.494179
145 0.7695 157509.332943
146 0.7704 167074.908473
147 0.7715 182585.275511
148 0.7717 184477.613232
149 0.7718 189132.195431

150 rows × 2 columns

Groupby $\lambda$s

In [17]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
final_acc_grouped_by_lmbda = acc_grouped_by_lmbda.mean()
final_acc_grouped_by_lmbda.rename(columns={'Method3':'MEAN'}, inplace=True)
final_acc_grouped_by_lmbda['S.D'] = acc_grouped_by_lmbda.std()
final_acc_grouped_by_lmbda['MIN'] = acc_grouped_by_lmbda.min()
final_acc_grouped_by_lmbda['MAX'] = acc_grouped_by_lmbda.max()
final_acc_grouped_by_lmbda['MED'] = acc_grouped_by_lmbda.median()
final_acc_grouped_by_lmbda.reset_index(inplace=True)
display(final_acc_grouped_by_lmbda)
lambdas MEAN S.D MIN MAX MED
0 0.000000 0.71909 0.013358 0.6867 0.7346 0.72165
1 100471.885619 0.78694 0.020593 0.7600 0.8228 0.78455
2 110837.689046 0.78835 0.020678 0.7626 0.8240 0.78550
3 112156.912078 0.78858 0.020706 0.7631 0.8243 0.78575
4 113670.658968 0.78866 0.020647 0.7635 0.8243 0.78585
5 118532.821955 0.78888 0.021238 0.7638 0.8248 0.78630
6 120920.212212 0.78930 0.021262 0.7643 0.8249 0.78690
7 127836.938509 0.79036 0.021217 0.7647 0.8257 0.78750
8 142451.759075 0.79277 0.020593 0.7671 0.8270 0.78950
9 154340.494179 0.79669 0.018245 0.7692 0.8276 0.79450
10 157509.332943 0.79754 0.018844 0.7695 0.8276 0.79505
11 167074.908473 0.79855 0.018636 0.7704 0.8280 0.79605
12 182585.275511 0.79986 0.018529 0.7715 0.8288 0.79720
13 184477.613232 0.80001 0.018600 0.7717 0.8291 0.79740
14 189132.195431 0.80045 0.018781 0.7718 0.8296 0.79775

Plots

In [18]:
mpl.rcParams['figure.figsize'] = 7,4.5
mpl.rcParams['axes.labelsize'] = 12
mpl.rcParams['lines.linewidth'] = 1.5
mpl.rcParams['lines.markersize'] = 8
mpl.rcParams['xtick.labelsize'] = 13
mpl.rcParams['ytick.labelsize'] = 12
mpl.rcParams['legend.fontsize'] = 12

final_acc_grouped_by_lmbda.plot(y=['MEAN','MED','MAX'],x='lambdas')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ylabel('Accuracy')
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Combine with previous $\lambda$s

In [28]:
prev_final_test_acc = pd.read_csv('spike_sh_14lmbdas_ar1_3lyrs_he1_75_10_non_spk_classify.csv', 
                                  index_col=0)
prev_acc_grouped_by_lmbda = prev_final_test_acc.groupby('lambdas')
prev_final_acc_grouped_by_lmbda = prev_acc_grouped_by_lmbda.mean()
prev_final_acc_grouped_by_lmbda.rename(columns={'Method3':'MEAN'}, inplace=True)
prev_final_acc_grouped_by_lmbda['S.D'] = prev_acc_grouped_by_lmbda.std()
prev_final_acc_grouped_by_lmbda['MIN'] = prev_acc_grouped_by_lmbda.min()
prev_final_acc_grouped_by_lmbda['MAX'] = prev_acc_grouped_by_lmbda.max()
prev_final_acc_grouped_by_lmbda['MED'] = prev_acc_grouped_by_lmbda.median()
prev_final_acc_grouped_by_lmbda.reset_index(inplace=True)
display(prev_final_acc_grouped_by_lmbda)
lambdas MEAN S.D MIN MAX MED
0 0.000000 0.71909 0.013358 0.6867 0.7346 0.72165
1 75117.971405 0.78152 0.020727 0.7575 0.8158 0.77810
2 77709.422262 0.78250 0.020241 0.7608 0.8171 0.77825
3 78039.228020 0.78257 0.020269 0.7609 0.8173 0.77825
4 78417.664742 0.78260 0.020226 0.7611 0.8173 0.77825
5 79633.205489 0.78272 0.020203 0.7613 0.8177 0.77845
6 80230.053053 0.78300 0.020283 0.7614 0.8182 0.77885
7 81959.234627 0.78297 0.022364 0.7521 0.8185 0.77900
8 85612.939769 0.78450 0.021875 0.7530 0.8193 0.78235
9 88585.123545 0.78518 0.022124 0.7533 0.8197 0.78265
10 89377.333236 0.78485 0.021290 0.7540 0.8197 0.78310
11 91768.727118 0.78598 0.022291 0.7543 0.8201 0.78355
12 95646.318878 0.78604 0.020861 0.7586 0.8227 0.78410
13 96119.403308 0.78622 0.020912 0.7587 0.8229 0.78425
14 97283.048858 0.78645 0.020718 0.7590 0.8230 0.78440
In [34]:
df2 = final_acc_grouped_by_lmbda.copy(deep=True)
df2.drop([0], inplace=True)

df1 = prev_final_acc_grouped_by_lmbda.copy(deep=True)
df1.drop([0], inplace=True)

final_df = pd.concat([df1, df2], axis=0)
display(final_df)

Combined plots

In [40]:
mpl.rcParams['figure.figsize'] = 7,4.5
mpl.rcParams['axes.labelsize'] = 12
mpl.rcParams['lines.linewidth'] = 1.5
mpl.rcParams['lines.markersize'] = 8
mpl.rcParams['xtick.labelsize'] = 13
mpl.rcParams['ytick.labelsize'] = 12
mpl.rcParams['legend.fontsize'] = 12

final_df.plot(y=['MEAN','MED','MAX'],x='lambdas')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ylabel('Accuracy')
plt.xlabel('$\lambda$')
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Some histograms

W_2

In [19]:
plt.hist(w_2.eval().flatten(), 100)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Omega_W_2

In [20]:
plt.hist(new_big_omeg_w2.flatten(),bins=100,log=True)
#plt.yscale('log')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

b_2

In [21]:
plt.hist(b_2.eval().flatten(), 100)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Omega_b_2

In [22]:
plt.hist(new_big_omeg_b2.flatten(),100,log=True)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

W_3

In [23]:
plt.hist(w_3.eval().flatten(), 100)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

b_3

In [24]:
plt.hist(b_3.eval().flatten(), 10)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Init the writer with $\lambda$s (20.0, 45.0) non-spk classification

In [15]:
path = '/home/ruthvik/Desktop/Summer 2017/tf_graph_outputs/mnist/continual_learning/original_mnist_5sets'
merged = tf.summary.merge_all()
train_writer = tf.summary.FileWriter(path + '/spike_sh_14lmbdas_ar1_3lyrs_he1_20_45_non_spk-classify', sess.graph)

Generate $\lambda$s

In [16]:
np.random.seed(100)
n_lmbdas = 14
a = np.random.uniform(low=20.0, high=45.0, size=(n_lmbdas,))
print(a)
print()
a = a*1.0e4
a = a[np.argsort(a)]
print(a)
print()
n_reps = 10
a = a.tolist()*n_reps
print(a, len(a))
[33.58512354 26.95923463 30.61293977 41.11940331 20.1179714  23.03922802
 36.76872712 40.64631888 23.41766474 34.37733324 42.28304886 25.23005305
 24.63320549 22.70942226]
()
[201179.71404774 227094.22261606 230392.28019578 234176.64742124
 246332.05488752 252300.5305293  269592.34627345 306129.39768728
 335851.23544774 343773.33235681 367687.27118169 406463.18877626
 411194.03307998 422830.48857807]
()
([201179.71404774312, 227094.22261606378, 230392.28019577856, 234176.64742123825, 246332.05488751875, 252300.5305292974, 269592.3462734491, 306129.3976872833, 335851.23544774135, 343773.3323568125, 367687.27118169464, 406463.1887762619, 411194.03307997587, 422830.48857806606, 201179.71404774312, 227094.22261606378, 230392.28019577856, 234176.64742123825, 246332.05488751875, 252300.5305292974, 269592.3462734491, 306129.3976872833, 335851.23544774135, 343773.3323568125, 367687.27118169464, 406463.1887762619, 411194.03307997587, 422830.48857806606, 201179.71404774312, 227094.22261606378, 230392.28019577856, 234176.64742123825, 246332.05488751875, 252300.5305292974, 269592.3462734491, 306129.3976872833, 335851.23544774135, 343773.3323568125, 367687.27118169464, 406463.1887762619, 411194.03307997587, 422830.48857806606, 201179.71404774312, 227094.22261606378, 230392.28019577856, 234176.64742123825, 246332.05488751875, 252300.5305292974, 269592.3462734491, 306129.3976872833, 335851.23544774135, 343773.3323568125, 367687.27118169464, 406463.1887762619, 411194.03307997587, 422830.48857806606, 201179.71404774312, 227094.22261606378, 230392.28019577856, 234176.64742123825, 246332.05488751875, 252300.5305292974, 269592.3462734491, 306129.3976872833, 335851.23544774135, 343773.3323568125, 367687.27118169464, 406463.1887762619, 411194.03307997587, 422830.48857806606, 201179.71404774312, 227094.22261606378, 230392.28019577856, 234176.64742123825, 246332.05488751875, 252300.5305292974, 269592.3462734491, 306129.3976872833, 335851.23544774135, 343773.3323568125, 367687.27118169464, 406463.1887762619, 411194.03307997587, 422830.48857806606, 201179.71404774312, 227094.22261606378, 230392.28019577856, 234176.64742123825, 246332.05488751875, 252300.5305292974, 269592.3462734491, 306129.3976872833, 335851.23544774135, 343773.3323568125, 367687.27118169464, 406463.1887762619, 411194.03307997587, 422830.48857806606, 201179.71404774312, 227094.22261606378, 230392.28019577856, 234176.64742123825, 246332.05488751875, 252300.5305292974, 269592.3462734491, 306129.3976872833, 335851.23544774135, 343773.3323568125, 367687.27118169464, 406463.1887762619, 411194.03307997587, 422830.48857806606, 201179.71404774312, 227094.22261606378, 230392.28019577856, 234176.64742123825, 246332.05488751875, 252300.5305292974, 269592.3462734491, 306129.3976872833, 335851.23544774135, 343773.3323568125, 367687.27118169464, 406463.1887762619, 411194.03307997587, 422830.48857806606, 201179.71404774312, 227094.22261606378, 230392.28019577856, 234176.64742123825, 246332.05488751875, 252300.5305292974, 269592.3462734491, 306129.3976872833, 335851.23544774135, 343773.3323568125, 367687.27118169464, 406463.1887762619, 411194.03307997587, 422830.48857806606], 140)

Generate random weights

In [17]:
lmbdas = a
np.random.seed(0)
np_weights = []
low = -np.sqrt(2.0/(n_input)) # use 4 for sigmoid, 1 for tanh activation 
high = np.sqrt(2.0/(n_input))
for i in range(n_reps):
    np_weights.append(np.random.uniform(low=low,high=high,size=(n_input,n_middle)))

np_weights=[item for item in np_weights for i in range(n_lmbdas)]
print(len(np_weights), len(lmbdas))
(140, 140)
In [18]:
np.array_equal(np_weights[0], np_weights[13])
Out[18]:
True
In [19]:
np.array_equal(np_weights[0], np_weights[14])
Out[19]:
False

Commence training

In [20]:
START_TIME = time.time()
method3_test_accs = []
#INITIALIZE THE NETWORK
logging_count = 0
sess.run(init_op,options=run_options, run_metadata=run_metadata)
sess.graph.finalize()
for l in range(len(lmbdas)):
    print('Training with lmbda:{}, {}'.format(lmbdas[l], l))
    #sess.run(init_op,options=run_options, run_metadata=run_metadata)
    zeta = 1e-3
    new_big_omeg_w2 = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    new_big_omeg_b2 = np.zeros(shape=[1,n_middle], dtype=np.float32)
    w3_zeros = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    b3_zeros = np.zeros(shape=[1,n_out], dtype=np.float32)
    w3_accum = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    w3_accum = []
    b3_accum = np.zeros(shape=[1,n_out], dtype=np.float32)
    b3_accum = []
    reset_w2_grad_accum = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    reset_b2_grad_accum = np.zeros(shape=[1,n_middle], dtype=np.float32)

    start_w2 = None
    start_b2 = None
    sess.run(w_2_update_op, {w_2_update_placeholder:np_weights[l]})
    sess.run(b_2_update_op, {b_2_update_placeholder:np.zeros(shape=[1,n_middle],dtype=np.float32)})
    end_w2 = None
    end_b2 = None

    old_test_data = []
    historical_cross_test_acc = {}
    historical_train_accuracies = {}
    historical_train_costs = {}
    historical_val_accuracies = {}
    historical_val_costs = {}
    sets = [(0,1), (2,3), (4,5), (6,7), (8,9)]
    #sets = [(0,4),(5,9)]
    test_labels_set = []
    
    n_test_samples = []
    for a_set in range(len(sets)):
        current_set = sets[a_set]
        current_set_name = 'set'+str(a_set)
        mask_val = [0]*num_classes
        for i in range(0, current_set[1]+1):
            mask_val[i]=1
        set_mask_val = np.array(mask_val, dtype=np.float32)
        print('Current mask:{}'.format(set_mask_val))
        train_data_set, valid_data_set, test_data_set = extract_class_data(start=current_set[0],
                                                                      stop=current_set[1])
        train_images_set, train_labels_set = train_data_set[0], train_data_set[1]
        valid_images_set, valid_labels_set = valid_data_set[0], valid_data_set[1]
        test_images_set, test_labels_set = test_data_set[0], test_data_set[1]
        n_test_samples.append(len(test_labels_set))
        train_total = len(train_images_set)
        n_batches = len(train_images_set)/BATCH_SIZE
        #@@print('Number of batches:{}'.format(n_batches))


        #@@set_omegas = [tf.assign(big_omeg_w2, new_big_omeg_w2), tf.assign(big_omeg_b2, new_big_omeg_b2)]
        #@@sess.run(set_omegas)
        
        sess.run(big_omeg_w2_update_op, {big_omeg_w2_update_placeholder:new_big_omeg_w2})
        sess.run(big_omeg_b2_update_op, {big_omeg_b2_update_placeholder:new_big_omeg_b2})

        #@@reset_grad_accums = [tf.assign(w2_grad_accum, reset_w2_grad_accum),
        #@@                     tf.assign(b2_grad_accum, reset_b2_grad_accum)]
        #@@sess.run(reset_grad_accums)
        
        sess.run(w2_grad_accum_update_op, {w2_grad_accum_update_placeholder:reset_w2_grad_accum})
        sess.run(b2_grad_accum_update_op, {b2_grad_accum_update_placeholder:reset_b2_grad_accum})

        
        #@@reset_w3 = [tf.assign(w_3, w3_zeros), tf.assign(b_3, b3_zeros)]
        #@@sess.run(reset_w3)
        sess.run(w_3_update_op, {w_3_update_placeholder:w3_zeros})
        sess.run(b_3_update_op, {b_3_update_placeholder:b3_zeros})
    
        epochs = 10
        repeats = 1

        for repeat in range(repeats):
            #tf.set_random_seed(l)
            print('Repeat:{}'.format(repeat))
            train_accuracies = []
            train_costs = []
            val_accuracies = []
            val_costs = []
            best_val = 0
            first_params_set = None
            last_params_set = None
            T1 = time.time()
            for i in range(epochs):
                if(i==0):
                    start_w2, start_b2 = w_2.eval(), b_2.eval()
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: len(train_images_set)})
                #@@print('Epoch:{}'.format((i)))
                t1 = time.time()

                ### CALCULATE TRAIN COSTS AND TRAIN ACCURACIES
                train_cost, train_accuracy = sess.run([cost, acct_res] ,feed_dict = {drop_out : 0.0, 
                                                                                     set1_mask:set_mask_val})
                train_costs.append(train_cost)
                train_accuracies.append(train_accuracy)
                #train_writer.add_summary(summary,logging_count)

                print('training cost:{} and training accuracy:{}'.format(train_costs[i], train_accuracies[i]))

                ### CALCULATE VALID COSTS AND VALID ACCURACIES
                sess.run(iter.initializer, feed_dict={a_1: valid_images_set, y: valid_labels_set,
                                                      batch_size: len(valid_images_set)})
                _, _, val_acc, val_cost, _ = sess.run([predictions,acct_mat,acct_res, cost, a_3],
                                                      feed_dict = {drop_out : 0.0,set1_mask:set_mask_val})
                val_costs.append(val_cost)
                val_accuracies.append(val_acc)

                if(val_acc>best_val):
                    best_val = val_acc
                    best_params_set1 = [(w_2.eval(),b_2.eval()),(w_3.eval(),b_3.eval())]
                print('validation cost:{} and validation accuracy:{}'.format(val_cost, val_acc))   
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: BATCH_SIZE})


                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                  batch_size: BATCH_SIZE})
                print('Training on :{}'.format(current_set))
                for j in range(n_batches):

                    if(not (np.isnan(w_2.eval().any() and np.isnan(w_3.eval()).any()))):
                        #if(a_set==1):
                        #    print(j, w_2.eval().sum(), w_3.eval().sum())
                        if(((j)% 1000 ==0)):
                            logging_count+=1
                            summary,_,_ = sess.run([merged,step, omega_step], 
                                                 feed_dict = {drop_out:0.0,batch_size: BATCH_SIZE,tau:0.5,
                                                              set1_mask:set_mask_val,eta:0.001,
                                                              lmbda:lmbdas[l],n_tot:train_total})
                            #train_writer.add_summary(summary, (i+1)*j)
                            train_writer.add_summary(summary, logging_count)
                        else:
                            sess.run([step, omega_step],feed_dict = {drop_out:0.0,batch_size:BATCH_SIZE,
                                                                     tau:0.5,set1_mask:set_mask_val,
                                                                     eta:0.001,lmbda:lmbdas[l],
                                                                     n_tot:train_total})
                    else:
                        print('Nan encountered in epoch:{} and batch:{}'.format(i, j))
                #@@print('Epoch time:{}'.format(time.time()-t1))


            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,final_test_acc,_ = sess.run([predictions, acct_res, a_3], 
                                                                  feed_dict = {drop_out:0.0, 
                                                                               set1_mask:set_mask_val})
            #@@print('Final test accuracy is:{}'.format(final_test_acc))
            end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
            #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
            #@@sess.run(update_star_wbs)
            sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
            sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
            
            
            #all_final_test_accs_set1.append(final_test_acc)


            #@@best_step = [tf.assign(w_2,best_params_set1[0][0]), tf.assign(b_2,best_params_set1[0][1]),
            #@@             tf.assign(w_3,best_params_set1[1][0]),tf.assign(b_3,best_params_set1[1][1])]
            #@@sess.run(best_step)
            
            sess.run(w_2_update_op, {w_2_update_placeholder:best_params_set1[0][0]})
            sess.run(b_2_update_op, {b_2_update_placeholder:best_params_set1[0][1]})
            
            sess.run(w_3_update_op, {w_3_update_placeholder:best_params_set1[1][0]})
            sess.run(b_3_update_op, {b_3_update_placeholder:best_params_set1[1][1]})
            
            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,test_acc_corresp_best_val,_ = sess.run([predictions, acct_res, a_3],
                                                     feed_dict = {drop_out:0.0,set1_mask:set_mask_val})

            #@@print('Test accuracy corresp to best val acc:{}'.format(test_acc_corresp_best_val))
            print('Time taken:{}'.format(time.time()-T1))
            #w3_list.append(w_3.eval())
            w3_accum.append(w_3.eval())
            #b3_list.append(b_3.eval())
            b3_accum.append(b_3.eval())
            if(i==epochs-1):
                if(test_acc_corresp_best_val>final_test_acc):
                    end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
                    #all_final_test_accs_set1[-1] = test_acc_corresp_best_val
                    #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
                    #@@sess.run(update_star_wbs)
                    
                    sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
                    sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
                    

                #@@best_step = [tf.assign(w_2,end_w2), tf.assign(b_2,end_b2),
                #@@         tf.assign(w_3,end_w3),tf.assign(b_3,end_b3)]
                #@@sess.run(best_step)
                
                
                sess.run(w_2_update_op, {w_2_update_placeholder:end_w2})
                sess.run(b_2_update_op, {b_2_update_placeholder:end_b2})
                
                sess.run(w_3_update_op, {w_3_update_placeholder:end_w3})
                sess.run(b_3_update_op, {b_3_update_placeholder:end_b3})

                first_params_set = [(start_w2, start_b2)]
                last_params_set = [(end_w2, end_b2)]

                small_omegas = [(w2_grad_accum.eval(),b2_grad_accum.eval())]

                delta_ws = map(lambda x,y: np.square(x-y)+zeta,[item[0] for item in last_params_set],
                           [item[0] for item in first_params_set])

                delta_bs = map(lambda x,y: np.square(x-y)+zeta,[item[1] for item in last_params_set],
                           [item[1] for item in first_params_set])
                delta_wbs = zip(delta_ws, delta_bs)

                big_omegas_ws = map(lambda x,y: (x/y),[item[0] for item in small_omegas],
                           [item[0] for item in delta_wbs])            
                big_omegas_bs = map(lambda x,y: (x/y),[item[1] for item in small_omegas],
                           [item[1] for item in delta_wbs])

                big_omegas = zip(big_omegas_ws, big_omegas_bs)
                new_big_omeg_w2 += big_omegas[0][0]
                new_big_omeg_b2 += big_omegas[0][1]
                #@@print('omegW2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_w2.max(),
                #@@                                                new_big_omeg_w2.mean(),
                #@@                                                new_big_omeg_w2.std()))
                #@@print('omegb2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_b2.max(),
                #@@                                                new_big_omeg_b2.mean(),
                #@@                                                new_big_omeg_b2.std()))

        historical_train_accuracies[current_set_name]=train_accuracies
        historical_train_costs[current_set_name]=train_costs
        historical_val_accuracies[current_set_name]=val_accuracies
        historical_val_costs[current_set_name]=val_costs
    
    #######Method 3 ###########
    w3_set_rows = []
    offset=0
    for item in w3_accum:
        w3_set_rows.append(item[:,offset:offset+2])
        offset+=2


    w3_set_row_avgs = [item.mean() for item in w3_set_rows]
    final_w3 = map(lambda x,y:x-y,w3_set_rows, w3_set_row_avgs)
    final_w3 = np.concatenate(final_w3, axis=1)

    b3_set_rows = []
    offset=0
    for item in b3_accum:
        b3_set_rows.append(item[:,offset:offset+2])
        offset+=2
    b3_set_row_avgs = [item.mean() for item in b3_set_rows]
    final_b3 = map(lambda x,y:x-y,b3_set_rows, b3_set_row_avgs)
    final_b3 = np.concatenate(final_b3, axis=1)

    #@@set_w3 = [tf.assign(w_3, final_w3), tf.assign(b_3, final_b3)]
    #@@sess.run(set_w3)
    sess.run(w_3_update_op, {w_3_update_placeholder:final_w3})
    sess.run(b_3_update_op, {b_3_update_placeholder:final_b3})

    sess.run(iter.initializer, feed_dict={a_1: test_images, y: to_categorical(test_labels,num_classes=num_classes),
                                                      batch_size: len(test_images)})
    _,final_test_acc,_ = sess.run([predictions, acct_res, a_3],
                                  feed_dict = {drop_out:0.0,set1_mask:set_mask_val})
    method3_test_accs.append(final_test_acc)
    print('Method 3 test accuracy:{}'.format(final_test_acc))
    
    
train_writer.close()
print('Total time:{}'.format(time.time()-START_TIME))
Training with lmbda:201179.714048, 0
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.223329275846 and training accuracy:0.997657477856
validation cost:0.217609897256 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0588664598763 and training accuracy:0.99809128046
validation cost:0.0582027807832 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.0329026244581 and training accuracy:0.998264789581
validation cost:0.0331324525177 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.023102754727 and training accuracy:0.998611807823
validation cost:0.0236389841884 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0179823227227 and training accuracy:0.998785376549
validation cost:0.0186521094292 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0148221068084 and training accuracy:0.998872101307
validation cost:0.0155552858487 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0126652261242 and training accuracy:0.99895888567
validation cost:0.01342903357 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0110910469666 and training accuracy:0.99895888567
validation cost:0.0118674216792 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.00988608878106 and training accuracy:0.999132394791
validation cost:0.0106639899313 and validation accuracy:0.998244047165
Training on :(0, 1)
Time taken:127.148087978
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.365370094776 and training accuracy:0.935187697411
validation cost:0.371715277433 and validation accuracy:0.936580896378
Training on :(2, 3)
training cost:0.180861055851 and training accuracy:0.958367407322
validation cost:0.186769783497 and validation accuracy:0.954963207245
Training on :(2, 3)
training cost:0.125274881721 and training accuracy:0.96945732832
validation cost:0.131964370608 and validation accuracy:0.966911792755
Training on :(2, 3)
training cost:0.0983472391963 and training accuracy:0.975274980068
validation cost:0.105192996562 and validation accuracy:0.971507370472
Training on :(2, 3)
training cost:0.0821335017681 and training accuracy:0.978456497192
validation cost:0.0886770859361 and validation accuracy:0.972426474094
Training on :(2, 3)
training cost:0.0711426585913 and training accuracy:0.981092631817
validation cost:0.0771973207593 and validation accuracy:0.976102948189
Training on :(2, 3)
training cost:0.0631121173501 and training accuracy:0.983365178108
validation cost:0.0686135366559 and validation accuracy:0.979779422283
Training on :(2, 3)
training cost:0.0569368302822 and training accuracy:0.985001385212
validation cost:0.0618881620467 and validation accuracy:0.981617629528
Training on :(2, 3)
training cost:0.0520118623972 and training accuracy:0.986183047295
validation cost:0.0564433187246 and validation accuracy:0.982536792755
Training on :(2, 3)
Time taken:120.764403105
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.24794845283 and training accuracy:0.980000019073
validation cost:0.249291822314 and validation accuracy:0.984205305576
Training on :(4, 5)
training cost:0.118868738413 and training accuracy:0.990341484547
validation cost:0.113860405982 and validation accuracy:0.995064139366
Training on :(4, 5)
training cost:0.0787904113531 and training accuracy:0.99385368824
validation cost:0.0720571130514 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0599230527878 and training accuracy:0.994536578655
validation cost:0.0527997128665 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0489865280688 and training accuracy:0.995024383068
validation cost:0.041881814599 and validation accuracy:0.998025655746
Training on :(4, 5)
training cost:0.0418191589415 and training accuracy:0.996195137501
validation cost:0.034874048084 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0367281958461 and training accuracy:0.996195137501
validation cost:0.0299916658551 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0329071059823 and training accuracy:0.996487796307
validation cost:0.0263924896717 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0299187675118 and training accuracy:0.996780514717
validation cost:0.0236237086356 and validation accuracy:1.0
Training on :(4, 5)
Time taken:113.720855951
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(6, 7)
training cost:0.173049256206 and training accuracy:0.991521596909
validation cost:0.166700169444 and validation accuracy:0.991788327694
Training on :(6, 7)
training cost:0.0771193131804 and training accuracy:0.995670616627
validation cost:0.074042275548 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0513040199876 and training accuracy:0.997203946114
validation cost:0.0491839013994 and validation accuracy:0.997262775898
Training on :(6, 7)
training cost:0.0394318439066 and training accuracy:0.997745096684
validation cost:0.0377111323178 and validation accuracy:0.9981752038
Training on :(6, 7)
training cost:0.0325443930924 and training accuracy:0.998196065426
validation cost:0.0310354270041 and validation accuracy:0.9981752038
Training on :(6, 7)
training cost:0.0280036143959 and training accuracy:0.998376488686
validation cost:0.0266265943646 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.0247591622174 and training accuracy:0.998556852341
validation cost:0.0234768856317 and validation accuracy:1.0
Training on :(6, 7)
training cost:0.0223094057292 and training accuracy:0.9987372756
validation cost:0.0211003124714 and validation accuracy:1.0
Training on :(6, 7)
training cost:0.0203834157437 and training accuracy:0.999007821083
validation cost:0.0192345716059 and validation accuracy:1.0
Training on :(6, 7)
Time taken:121.840325832
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.238327682018 and training accuracy:0.957254588604
validation cost:0.239375770092 and validation accuracy:0.951977372169
Training on :(8, 9)
training cost:0.145161107183 and training accuracy:0.965822339058
validation cost:0.146721929312 and validation accuracy:0.960451960564
Training on :(8, 9)
training cost:0.112319603562 and training accuracy:0.972061812878
validation cost:0.114133246243 and validation accuracy:0.972693026066
Training on :(8, 9)
training cost:0.0944448187947 and training accuracy:0.975414395332
validation cost:0.0961641073227 and validation accuracy:0.97834277153
Training on :(8, 9)
training cost:0.0827401503921 and training accuracy:0.978208243847
validation cost:0.084208227694 and validation accuracy:0.98116761446
Training on :(8, 9)
training cost:0.074293859303 and training accuracy:0.980350136757
validation cost:0.07546094805 and validation accuracy:0.98399245739
Training on :(8, 9)
training cost:0.0678328201175 and training accuracy:0.981653928757
validation cost:0.0686981901526 and validation accuracy:0.984934091568
Training on :(8, 9)
training cost:0.0626917257905 and training accuracy:0.983330249786
validation cost:0.0632754191756 and validation accuracy:0.985875725746
Training on :(8, 9)
training cost:0.0584801472723 and training accuracy:0.984447777271
validation cost:0.058807272464 and validation accuracy:0.987758934498
Training on :(8, 9)
Time taken:117.867750168
Method 3 test accuracy:0.818599998951
Training with lmbda:227094.222616, 1
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.223329275846 and training accuracy:0.997657477856
validation cost:0.217609897256 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0588664598763 and training accuracy:0.99809128046
validation cost:0.0582027807832 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.0329026244581 and training accuracy:0.998264789581
validation cost:0.0331324525177 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.023102754727 and training accuracy:0.998611807823
validation cost:0.0236389841884 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0179823227227 and training accuracy:0.998785376549
validation cost:0.0186521094292 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0148221068084 and training accuracy:0.998872101307
validation cost:0.0155552858487 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0126652261242 and training accuracy:0.99895888567
validation cost:0.01342903357 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0110910469666 and training accuracy:0.99895888567
validation cost:0.0118674216792 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.00988608878106 and training accuracy:0.999132394791
validation cost:0.0106639899313 and validation accuracy:0.998244047165
Training on :(0, 1)
Time taken:125.802834034
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.365877747536 and training accuracy:0.935187697411
validation cost:0.372216492891 and validation accuracy:0.936580896378
Training on :(2, 3)
training cost:0.181316152215 and training accuracy:0.958367407322
validation cost:0.187206238508 and validation accuracy:0.954963207245
Training on :(2, 3)
training cost:0.125678807497 and training accuracy:0.96945732832
validation cost:0.132344454527 and validation accuracy:0.966911792755
Training on :(2, 3)
training cost:0.098721139133 and training accuracy:0.975184082985
validation cost:0.105546437204 and validation accuracy:0.971507370472
Training on :(2, 3)
training cost:0.0824863761663 and training accuracy:0.978456497192
validation cost:0.0890158265829 and validation accuracy:0.972426474094
Training on :(2, 3)
training cost:0.0714795216918 and training accuracy:0.981092631817
validation cost:0.0775276124477 and validation accuracy:0.976102948189
Training on :(2, 3)
training cost:0.0634348317981 and training accuracy:0.983365178108
validation cost:0.0689372122288 and validation accuracy:0.979779422283
Training on :(2, 3)
training cost:0.0572472549975 and training accuracy:0.985001385212
validation cost:0.0622052662075 and validation accuracy:0.981617629528
Training on :(2, 3)
training cost:0.052311129868 and training accuracy:0.986183047295
validation cost:0.0567540377378 and validation accuracy:0.982536792755
Training on :(2, 3)
Time taken:120.589581013
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.2501706779 and training accuracy:0.97990244627
validation cost:0.251581251621 and validation accuracy:0.983218193054
Training on :(4, 5)
training cost:0.120415613055 and training accuracy:0.990438997746
validation cost:0.115474686027 and validation accuracy:0.995064139366
Training on :(4, 5)
training cost:0.0799827948213 and training accuracy:0.993951201439
validation cost:0.0733000263572 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0609000697732 and training accuracy:0.994536578655
validation cost:0.0538155138493 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0498200505972 and training accuracy:0.994926810265
validation cost:0.0427470505238 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0425490289927 and training accuracy:0.996097564697
validation cost:0.0356303788722 and validation accuracy:0.999012827873
Training on :(4, 5)
training cost:0.0373813584447 and training accuracy:0.996195137501
validation cost:0.0306670609862 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.033500123769 and training accuracy:0.996487796307
validation cost:0.0270046833903 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0304628070444 and training accuracy:0.996780514717
validation cost:0.0241846702993 and validation accuracy:1.0
Training on :(4, 5)
Time taken:112.552898884
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(6, 7)
training cost:0.17500410974 and training accuracy:0.991521596909
validation cost:0.168654978275 and validation accuracy:0.991788327694
Training on :(6, 7)
training cost:0.0783808976412 and training accuracy:0.995670616627
validation cost:0.0752899199724 and validation accuracy:0.996350347996
Training on :(6, 7)
training cost:0.0523045621812 and training accuracy:0.997203946114
validation cost:0.0501713864505 and validation accuracy:0.997262775898
Training on :(6, 7)
training cost:0.0402813367546 and training accuracy:0.997654914856
validation cost:0.0385502129793 and validation accuracy:0.9981752038
Training on :(6, 7)
training cost:0.0332912020385 and training accuracy:0.998196065426
validation cost:0.0317739285529 and validation accuracy:0.9981752038
Training on :(6, 7)
training cost:0.0286734439433 and training accuracy:0.998376488686
validation cost:0.0272907335311 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.0253692511469 and training accuracy:0.998647093773
validation cost:0.024082634598 and validation accuracy:1.0
Training on :(6, 7)
training cost:0.0228712595999 and training accuracy:0.9987372756
validation cost:0.0216586645693 and validation accuracy:1.0
Training on :(6, 7)
training cost:0.0209049768746 and training accuracy:0.998917639256
validation cost:0.0197531655431 and validation accuracy:1.0
Training on :(6, 7)
Time taken:121.081496
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.240473553538 and training accuracy:0.957627117634
validation cost:0.24149030447 and validation accuracy:0.951977372169
Training on :(8, 9)
training cost:0.14652018249 and training accuracy:0.965822339058
validation cost:0.148022294044 and validation accuracy:0.960451960564
Training on :(8, 9)
training cost:0.113475643098 and training accuracy:0.972154974937
validation cost:0.115213155746 and validation accuracy:0.971751391888
Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:234176.647421, 3
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:269592.346273, 6
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:335851.235448, 8
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:406463.188776, 11
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:121.839374065
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:422830.488578, 13
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:306129.397687, 21
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:121.70681119
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:411194.03308, 26
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
training cost:0.0234090145677 and training accuracy:0.999007821083
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:121.521560192
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:335851.235448, 36
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:120.81405592
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:367687.271182, 38
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:406463.188776, 39
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.809800028801
Training with lmbda:227094.222616, 43
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.812900006771
Training with lmbda:230392.280196, 44
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.814499974251
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:306129.397687, 49
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:335851.235448, 50
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Repeat:0
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:343773.332357, 51
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:411194.03308, 54
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:422830.488578, 55
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:201179.714048, 56
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.793099999428
Training with lmbda:230392.280196, 58
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.793099999428
Training with lmbda:234176.647421, 59
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:306129.397687, 63
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:335851.235448, 64
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.804300010204
Training with lmbda:411194.03308, 68
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.804600000381
Training with lmbda:422830.488578, 69
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:120.806797028
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.798600018024
Training with lmbda:335851.235448, 78
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.802500009537
Training with lmbda:343773.332357, 79
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.804700016975
Training with lmbda:422830.488578, 83
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.805000007153
Training with lmbda:201179.714048, 84
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:246332.054888, 88
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.83520001173
Training with lmbda:343773.332357, 93
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:367687.271182, 94
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.791700005531
Training with lmbda:252300.530529, 103
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:269592.346273, 104
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.819299995899
Training with lmbda:367687.271182, 108
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:118.072757959
Method 3 test accuracy:0.820299983025
Training with lmbda:406463.188776, 109
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:122.438560963
Method 3 test accuracy:0.830299973488
Training with lmbda:227094.222616, 113
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:120.439395905
Method 3 test accuracy:0.83109998703
Training with lmbda:230392.280196, 114
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.831300020218
Training with lmbda:269592.346273, 118
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:120.444177151
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.833999991417
Training with lmbda:406463.188776, 123
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:121.415698051
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.834699988365
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:201179.714048, 126
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0510799847543 and training accuracy:0.987455666065
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Training on :(2, 3)
Time taken:124.181164026
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
training cost:0.0749905630946 and training accuracy:0.980629563332
validation cost:0.0773726925254 and validation accuracy:0.982109248638
Training on :(8, 9)
training cost:0.0697880089283 and training accuracy:0.981747090816
validation cost:0.0719266831875 and validation accuracy:0.98399245739
Training on :(8, 9)
training cost:0.065499715507 and training accuracy:0.982585191727
validation cost:0.0674137473106 and validation accuracy:0.985875725746
Training on :(8, 9)
Time taken:117.23761487
Method 3 test accuracy:0.778299987316
Training with lmbda:422830.488578, 139
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.203907415271 and training accuracy:0.997570693493
validation cost:0.201984629035 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0566555894911 and training accuracy:0.99809128046
validation cost:0.0579187460244 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0322347804904 and training accuracy:0.998351573944
validation cost:0.0339787490666 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0228093471378 and training accuracy:0.998525083065
validation cost:0.0246704109013 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0178289748728 and training accuracy:0.998525083065
validation cost:0.0197088513523 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0147348884493 and training accuracy:0.998698592186
validation cost:0.0165966041386 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0126142920926 and training accuracy:0.998698592186
validation cost:0.0144430585206 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.011062421836 and training accuracy:0.998872101307
validation cost:0.0128502687439 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.00987247936428 and training accuracy:0.99895888567
validation cost:0.0116164442152 and validation accuracy:0.997366130352
Training on :(0, 1)
Time taken:125.867727995
Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
Train features:(11001, 3630)
Length of train labels:11001
Valid features:(1088, 3630)
Length of valid labels:1088
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(2, 3)
training cost:0.370331466198 and training accuracy:0.940823554993
validation cost:0.374528437853 and validation accuracy:0.945772051811
Training on :(2, 3)
training cost:0.181225240231 and training accuracy:0.961185336113
validation cost:0.184606671333 and validation accuracy:0.957720577717
Training on :(2, 3)
training cost:0.125446796417 and training accuracy:0.971638917923
validation cost:0.129105940461 and validation accuracy:0.96875
Training on :(2, 3)
training cost:0.0987759530544 and training accuracy:0.975184082985
validation cost:0.10244654119 and validation accuracy:0.971507370472
Training on :(2, 3)
training cost:0.0827929973602 and training accuracy:0.97936552763
validation cost:0.0862410739064 and validation accuracy:0.977941155434
Training on :(2, 3)
training cost:0.0719656124711 and training accuracy:0.982456147671
validation cost:0.0750799998641 and validation accuracy:0.980698525906
Training on :(2, 3)
training cost:0.064051784575 and training accuracy:0.984819591045
validation cost:0.0668069422245 and validation accuracy:0.981617629528
Training on :(2, 3)
training cost:0.0579576864839 and training accuracy:0.986092150211
validation cost:0.0603550747037 and validation accuracy:0.983455896378
Training on :(2, 3)
training cost:0.0530875921249 and training accuracy:0.987182974815
validation cost:0.0551411099732 and validation accuracy:0.985294103622
Training on :(2, 3)
Time taken:120.720551014
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
Length of train labels:10250
Valid features:(1013, 3630)
Length of valid labels:1013
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(4, 5)
training cost:0.26400834322 and training accuracy:0.979609727859
validation cost:0.267522484064 and validation accuracy:0.984205305576
Training on :(4, 5)
training cost:0.1295915097 and training accuracy:0.989268302917
validation cost:0.126460760832 and validation accuracy:0.994077026844
Training on :(4, 5)
training cost:0.0870080962777 and training accuracy:0.993463397026
validation cost:0.0817840844393 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0665907040238 and training accuracy:0.994439005852
validation cost:0.0607018247247 and validation accuracy:0.99703848362
Training on :(4, 5)
training cost:0.0546052828431 and training accuracy:0.994926810265
validation cost:0.0485374778509 and validation accuracy:0.999012827873
Training on :(4, 5)
training cost:0.0466879718006 and training accuracy:0.995512187481
validation cost:0.0406330488622 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0410391390324 and training accuracy:0.996097564697
validation cost:0.0350810401142 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0367872752249 and training accuracy:0.996487796307
validation cost:0.03096168302 and validation accuracy:1.0
Training on :(4, 5)
training cost:0.0334576927125 and training accuracy:0.996975600719
validation cost:0.0277787614614 and validation accuracy:1.0
Training on :(4, 5)
Time taken:112.476815939
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
Length of train labels:11087
Valid features:(1096, 3630)
Length of valid labels:1096
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(6, 7)
training cost:0.182829216123 and training accuracy:0.992423534393
validation cost:0.175385028124 and validation accuracy:0.992700755596
Training on :(6, 7)
training cost:0.0861289873719 and training accuracy:0.996031403542
validation cost:0.0822580829263 and validation accuracy:0.997262775898
Training on :(6, 7)
training cost:0.058736551553 and training accuracy:0.997294127941
validation cost:0.0559637956321 and validation accuracy:0.997262775898
Training on :(6, 7)
training cost:0.0457656420767 and training accuracy:0.997745096684
validation cost:0.0434623248875 and validation accuracy:0.997262775898
Training on :(6, 7)
training cost:0.0380929000676 and training accuracy:0.998105883598
validation cost:0.0360432006419 and validation accuracy:0.9981752038
Training on :(6, 7)
training cost:0.032964065671 and training accuracy:0.998556852341
validation cost:0.0310731567442 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.0292615126818 and training accuracy:0.998647093773
validation cost:0.0274822432548 and validation accuracy:1.0
Training on :(6, 7)
training cost:0.0264442488551 and training accuracy:0.998917639256
validation cost:0.0247489884496 and validation accuracy:1.0
Training on :(6, 7)
training cost:0.024216607213 and training accuracy:0.998917639256
validation cost:0.0225889328867 and validation accuracy:1.0
Training on :(6, 7)
Time taken:121.350713968
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.246175333858 and training accuracy:0.956788957119
validation cost:0.248546674848 and validation accuracy:0.94915252924
Training on :(8, 9)
training cost:0.152743116021 and training accuracy:0.965449810028
validation cost:0.155828818679 and validation accuracy:0.963276863098
Training on :(8, 9)
training cost:0.119868867099 and training accuracy:0.971130549908
validation cost:0.123107522726 and validation accuracy:0.970809817314
Training on :(8, 9)
training cost:0.101998910308 and training accuracy:0.974296867847
validation cost:0.105122111738 and validation accuracy:0.975517868996
Training on :(8, 9)
training cost:0.0902915075421 and training accuracy:0.976252555847
validation cost:0.0931931585073 and validation accuracy:0.977401137352
Training on :(8, 9)
training cost:0.0818230360746 and training accuracy:0.978487610817
validation cost:0.0844729542732 and validation accuracy:0.979284346104
Training on :(8, 9)
training cost:0.0753156021237 and training accuracy:0.980536401272
validation cost:0.0777129530907 and validation accuracy:0.982109248638
Training on :(8, 9)
training cost:0.0701029971242 and training accuracy:0.981747090816
validation cost:0.0722588077188 and validation accuracy:0.98399245739
Training on :(8, 9)
training cost:0.0658065751195 and training accuracy:0.982585191727
validation cost:0.0677396208048 and validation accuracy:0.985875725746
Training on :(8, 9)
Time taken:117.946047068
Method 3 test accuracy:0.777899980545
Total time:84589.9557409

Final accuracy

In [21]:
final_test_acc = pd.DataFrame({'Method3':method3_test_accs, 'lambdas':lmbdas})
final_test_acc.to_csv('spike_sh_14lmbdas_ar1_3lyrs_he1_20_45-non_spk.csv')
final_test_acc
Out[21]:
Method3 lambdas
0 0.8186 201179.714048
1 0.8258 227094.222616
2 0.8259 230392.280196
3 0.8261 234176.647421
4 0.8263 246332.054888
5 0.8266 252300.530529
6 0.8276 269592.346273
7 0.8221 306129.397687
8 0.8232 335851.235448
9 0.8232 343773.332357
10 0.8244 367687.271182
11 0.8178 406463.188776
12 0.8179 411194.033080
13 0.8178 422830.488578
14 0.7921 201179.714048
15 0.7949 227094.222616
16 0.7952 230392.280196
17 0.7952 234176.647421
18 0.7941 246332.054888
19 0.7940 252300.530529
20 0.7955 269592.346273
21 0.7966 306129.397687
22 0.7973 335851.235448
23 0.7977 343773.332357
24 0.7986 367687.271182
25 0.7995 406463.188776
26 0.7993 411194.033080
27 0.7996 422830.488578
28 0.8020 201179.714048
29 0.8033 227094.222616
... ... ...
110 0.7999 411194.033080
111 0.7999 422830.488578
112 0.8303 201179.714048
113 0.8311 227094.222616
114 0.8311 230392.280196
115 0.8311 234176.647421
116 0.8315 246332.054888
117 0.8313 252300.530529
118 0.8314 269592.346273
119 0.8330 306129.397687
120 0.8334 335851.235448
121 0.8335 343773.332357
122 0.8340 367687.271182
123 0.8346 406463.188776
124 0.8347 411194.033080
125 0.8346 422830.488578
126 0.7731 201179.714048
127 0.7757 227094.222616
128 0.7758 230392.280196
129 0.7759 234176.647421
130 0.7767 246332.054888
131 0.7769 252300.530529
132 0.7769 269592.346273
133 0.7781 306129.397687
134 0.7778 335851.235448
135 0.7781 343773.332357
136 0.7779 367687.271182
137 0.7779 406463.188776
138 0.7783 411194.033080
139 0.7779 422830.488578

140 rows × 2 columns

Groupby $\lambda$s

In [22]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
final_acc_grouped_by_lmbda = acc_grouped_by_lmbda.mean()
final_acc_grouped_by_lmbda.rename(columns={'Method3':'MEAN'}, inplace=True)
final_acc_grouped_by_lmbda['S.D'] = acc_grouped_by_lmbda.std()
final_acc_grouped_by_lmbda['MIN'] = acc_grouped_by_lmbda.min()
final_acc_grouped_by_lmbda['MAX'] = acc_grouped_by_lmbda.max()
final_acc_grouped_by_lmbda['MED'] = acc_grouped_by_lmbda.median()
final_acc_grouped_by_lmbda.reset_index(inplace=True)
display(final_acc_grouped_by_lmbda)
lambdas MEAN S.D MIN MAX MED
0 201179.714048 0.80312 0.018350 0.7731 0.8303 0.79940
1 227094.222616 0.80550 0.018698 0.7757 0.8311 0.80060
2 230392.280196 0.80567 0.018672 0.7758 0.8311 0.80065
3 234176.647421 0.80583 0.018595 0.7759 0.8311 0.80085
4 246332.054888 0.80623 0.018735 0.7767 0.8315 0.80135
5 252300.530529 0.80687 0.019128 0.7769 0.8345 0.80195
6 269592.346273 0.80868 0.018645 0.7769 0.8352 0.80590
7 306129.397687 0.81075 0.019335 0.7781 0.8365 0.81640
8 335851.235448 0.81119 0.019834 0.7778 0.8352 0.81790
9 343773.332357 0.81128 0.019692 0.7781 0.8350 0.81765
10 367687.271182 0.81151 0.019817 0.7779 0.8360 0.81590
11 406463.188776 0.81217 0.019033 0.7779 0.8378 0.80835
12 411194.033080 0.81229 0.018940 0.7783 0.8378 0.80845
13 422830.488578 0.81246 0.019064 0.7779 0.8383 0.80875

Plots

In [23]:
mpl.rcParams['figure.figsize'] = 7,4.5
mpl.rcParams['axes.labelsize'] = 12
mpl.rcParams['lines.linewidth'] = 1.5
mpl.rcParams['lines.markersize'] = 8
mpl.rcParams['xtick.labelsize'] = 13
mpl.rcParams['ytick.labelsize'] = 12
mpl.rcParams['legend.fontsize'] = 12

final_acc_grouped_by_lmbda.plot(y=['MEAN','MED','MAX'],x='lambdas')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ylabel('Accuracy')
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Combine with the previous $\lambda$s

In [26]:
prev_final_test_acc1 = pd.read_csv('spike_sh_14lmbdas_ar1_3lyrs_he1_75_10_non_spk_classify.csv', 
                                  index_col=0)
prev_acc_grouped_by_lmbda1 = prev_final_test_acc1.groupby('lambdas')
prev_final_acc_grouped_by_lmbda1 = prev_acc_grouped_by_lmbda1.mean()
prev_final_acc_grouped_by_lmbda1.rename(columns={'Method3':'MEAN'}, inplace=True)
prev_final_acc_grouped_by_lmbda1['S.D'] = prev_acc_grouped_by_lmbda1.std()
prev_final_acc_grouped_by_lmbda1['MIN'] = prev_acc_grouped_by_lmbda1.min()
prev_final_acc_grouped_by_lmbda1['MAX'] = prev_acc_grouped_by_lmbda1.max()
prev_final_acc_grouped_by_lmbda1['MED'] = prev_acc_grouped_by_lmbda1.median()
prev_final_acc_grouped_by_lmbda1.reset_index(inplace=True)
display(prev_final_acc_grouped_by_lmbda1)
lambdas MEAN S.D MIN MAX MED
0 0.000000 0.71909 0.013358 0.6867 0.7346 0.72165
1 75117.971405 0.78152 0.020727 0.7575 0.8158 0.77810
2 77709.422262 0.78250 0.020241 0.7608 0.8171 0.77825
3 78039.228020 0.78257 0.020269 0.7609 0.8173 0.77825
4 78417.664742 0.78260 0.020226 0.7611 0.8173 0.77825
5 79633.205489 0.78272 0.020203 0.7613 0.8177 0.77845
6 80230.053053 0.78300 0.020283 0.7614 0.8182 0.77885
7 81959.234627 0.78297 0.022364 0.7521 0.8185 0.77900
8 85612.939769 0.78450 0.021875 0.7530 0.8193 0.78235
9 88585.123545 0.78518 0.022124 0.7533 0.8197 0.78265
10 89377.333236 0.78485 0.021290 0.7540 0.8197 0.78310
11 91768.727118 0.78598 0.022291 0.7543 0.8201 0.78355
12 95646.318878 0.78604 0.020861 0.7586 0.8227 0.78410
13 96119.403308 0.78622 0.020912 0.7587 0.8229 0.78425
14 97283.048858 0.78645 0.020718 0.7590 0.8230 0.78440
In [27]:
prev_final_test_acc2 = pd.read_csv('spike_sh_14lmbdas_ar1_3lyrs_he1_10_20_non_spk_classify.csv', 
                                  index_col=0)
prev_acc_grouped_by_lmbda2 = prev_final_test_acc2.groupby('lambdas')
prev_final_acc_grouped_by_lmbda2 = prev_acc_grouped_by_lmbda2.mean()
prev_final_acc_grouped_by_lmbda2.rename(columns={'Method3':'MEAN'}, inplace=True)
prev_final_acc_grouped_by_lmbda2['S.D'] = prev_acc_grouped_by_lmbda2.std()
prev_final_acc_grouped_by_lmbda2['MIN'] = prev_acc_grouped_by_lmbda2.min()
prev_final_acc_grouped_by_lmbda2['MAX'] = prev_acc_grouped_by_lmbda2.max()
prev_final_acc_grouped_by_lmbda2['MED'] = prev_acc_grouped_by_lmbda2.median()
prev_final_acc_grouped_by_lmbda2.reset_index(inplace=True)
display(prev_final_acc_grouped_by_lmbda2)
lambdas MEAN S.D MIN MAX MED
0 0.000000 0.71909 0.013358 0.6867 0.7346 0.72165
1 100471.885619 0.78694 0.020593 0.7600 0.8228 0.78455
2 110837.689046 0.78835 0.020678 0.7626 0.8240 0.78550
3 112156.912078 0.78858 0.020706 0.7631 0.8243 0.78575
4 113670.658968 0.78866 0.020647 0.7635 0.8243 0.78585
5 118532.821955 0.78888 0.021238 0.7638 0.8248 0.78630
6 120920.212212 0.78930 0.021262 0.7643 0.8249 0.78690
7 127836.938509 0.79036 0.021217 0.7647 0.8257 0.78750
8 142451.759075 0.79277 0.020593 0.7671 0.8270 0.78950
9 154340.494179 0.79669 0.018245 0.7692 0.8276 0.79450
10 157509.332943 0.79754 0.018844 0.7695 0.8276 0.79505
11 167074.908473 0.79855 0.018636 0.7704 0.8280 0.79605
12 182585.275511 0.79986 0.018529 0.7715 0.8288 0.79720
13 184477.613232 0.80001 0.018600 0.7717 0.8291 0.79740
14 189132.195431 0.80045 0.018781 0.7718 0.8296 0.79775
In [28]:
df3 = final_acc_grouped_by_lmbda.copy(deep=True)
df3.drop([0], inplace=True)

df2 = prev_final_acc_grouped_by_lmbda2.copy(deep=True)
df2.drop([0], inplace=True)

df1 = prev_final_acc_grouped_by_lmbda1.copy(deep=True)
df1.drop([0], inplace=True)

final_df = pd.concat([df1, df2, df3], axis=0)
display(final_df)
lambdas MEAN S.D MIN MAX MED
1 75117.971405 0.78152 0.020727 0.7575 0.8158 0.77810
2 77709.422262 0.78250 0.020241 0.7608 0.8171 0.77825
3 78039.228020 0.78257 0.020269 0.7609 0.8173 0.77825
4 78417.664742 0.78260 0.020226 0.7611 0.8173 0.77825
5 79633.205489 0.78272 0.020203 0.7613 0.8177 0.77845
6 80230.053053 0.78300 0.020283 0.7614 0.8182 0.77885
7 81959.234627 0.78297 0.022364 0.7521 0.8185 0.77900
8 85612.939769 0.78450 0.021875 0.7530 0.8193 0.78235
9 88585.123545 0.78518 0.022124 0.7533 0.8197 0.78265
10 89377.333236 0.78485 0.021290 0.7540 0.8197 0.78310
11 91768.727118 0.78598 0.022291 0.7543 0.8201 0.78355
12 95646.318878 0.78604 0.020861 0.7586 0.8227 0.78410
13 96119.403308 0.78622 0.020912 0.7587 0.8229 0.78425
14 97283.048858 0.78645 0.020718 0.7590 0.8230 0.78440
1 100471.885619 0.78694 0.020593 0.7600 0.8228 0.78455
2 110837.689046 0.78835 0.020678 0.7626 0.8240 0.78550
3 112156.912078 0.78858 0.020706 0.7631 0.8243 0.78575
4 113670.658968 0.78866 0.020647 0.7635 0.8243 0.78585
5 118532.821955 0.78888 0.021238 0.7638 0.8248 0.78630
6 120920.212212 0.78930 0.021262 0.7643 0.8249 0.78690
7 127836.938509 0.79036 0.021217 0.7647 0.8257 0.78750
8 142451.759075 0.79277 0.020593 0.7671 0.8270 0.78950
9 154340.494179 0.79669 0.018245 0.7692 0.8276 0.79450
10 157509.332943 0.79754 0.018844 0.7695 0.8276 0.79505
11 167074.908473 0.79855 0.018636 0.7704 0.8280 0.79605
12 182585.275511 0.79986 0.018529 0.7715 0.8288 0.79720
13 184477.613232 0.80001 0.018600 0.7717 0.8291 0.79740
14 189132.195431 0.80045 0.018781 0.7718 0.8296 0.79775
1 227094.222616 0.80550 0.018698 0.7757 0.8311 0.80060
2 230392.280196 0.80567 0.018672 0.7758 0.8311 0.80065
3 234176.647421 0.80583 0.018595 0.7759 0.8311 0.80085
4 246332.054888 0.80623 0.018735 0.7767 0.8315 0.80135
5 252300.530529 0.80687 0.019128 0.7769 0.8345 0.80195
6 269592.346273 0.80868 0.018645 0.7769 0.8352 0.80590
7 306129.397687 0.81075 0.019335 0.7781 0.8365 0.81640
8 335851.235448 0.81119 0.019834 0.7778 0.8352 0.81790
9 343773.332357 0.81128 0.019692 0.7781 0.8350 0.81765
10 367687.271182 0.81151 0.019817 0.7779 0.8360 0.81590
11 406463.188776 0.81217 0.019033 0.7779 0.8378 0.80835
12 411194.033080 0.81229 0.018940 0.7783 0.8378 0.80845
13 422830.488578 0.81246 0.019064 0.7779 0.8383 0.80875

Combined plots

In [29]:
mpl.rcParams['figure.figsize'] = 7,4.5
mpl.rcParams['axes.labelsize'] = 12
mpl.rcParams['lines.linewidth'] = 1.5
mpl.rcParams['lines.markersize'] = 8
mpl.rcParams['xtick.labelsize'] = 13
mpl.rcParams['ytick.labelsize'] = 12
mpl.rcParams['legend.fontsize'] = 12

final_df.plot(y=['MEAN','MED','MAX'],x='lambdas')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ylabel('Accuracy')
plt.xlabel('$\lambda$')
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Init the writer with $\lambda$s (45.0, 65.0) non-spk classification

In [11]:
path = '/home/ruthvik/Desktop/Summer 2017/tf_graph_outputs/mnist/continual_learning/original_mnist_5sets'
merged = tf.summary.merge_all()
train_writer = tf.summary.FileWriter(path + '/spike_sh_14lmbdas_ar1_3lyrs_he1_45_65_non_spk_classify', sess.graph)

Generate $\lambda$s

In [12]:
np.random.seed(100)
n_lmbdas = 14
a = np.random.uniform(low=45.0, high=65.0, size=(n_lmbdas,))
print(a)
print()
a = a*1.0e4
a = a[np.argsort(a)]
print(a)
print()
n_reps = 10
a = a.tolist()*n_reps
print(a, len(a))
[55.86809884 50.5673877  53.49035181 61.89552265 45.09437712 47.43138242
 58.41498169 61.5170551  47.73413179 56.50186659 62.82643909 49.18404244
 48.70656439 47.16753781]
()
[450943.77123819 471675.37809285 474313.82415662 477341.31793699
 487065.64391002 491840.42442344 505673.87701876 534903.51814983
 558680.98835819 565018.66588545 584149.81694536 615170.55102101
 618955.22646398 628264.39086245]
()
([450943.7712381945, 471675.378092851, 474313.82415662287, 477341.3179369906, 487065.643910015, 491840.424423438, 505673.8770187592, 534903.5181498266, 558680.9883581931, 565018.66588545, 584149.8169453557, 615170.5510210096, 618955.2264639807, 628264.3908624528, 450943.7712381945, 471675.378092851, 474313.82415662287, 477341.3179369906, 487065.643910015, 491840.424423438, 505673.8770187592, 534903.5181498266, 558680.9883581931, 565018.66588545, 584149.8169453557, 615170.5510210096, 618955.2264639807, 628264.3908624528, 450943.7712381945, 471675.378092851, 474313.82415662287, 477341.3179369906, 487065.643910015, 491840.424423438, 505673.8770187592, 534903.5181498266, 558680.9883581931, 565018.66588545, 584149.8169453557, 615170.5510210096, 618955.2264639807, 628264.3908624528, 450943.7712381945, 471675.378092851, 474313.82415662287, 477341.3179369906, 487065.643910015, 491840.424423438, 505673.8770187592, 534903.5181498266, 558680.9883581931, 565018.66588545, 584149.8169453557, 615170.5510210096, 618955.2264639807, 628264.3908624528, 450943.7712381945, 471675.378092851, 474313.82415662287, 477341.3179369906, 487065.643910015, 491840.424423438, 505673.8770187592, 534903.5181498266, 558680.9883581931, 565018.66588545, 584149.8169453557, 615170.5510210096, 618955.2264639807, 628264.3908624528, 450943.7712381945, 471675.378092851, 474313.82415662287, 477341.3179369906, 487065.643910015, 491840.424423438, 505673.8770187592, 534903.5181498266, 558680.9883581931, 565018.66588545, 584149.8169453557, 615170.5510210096, 618955.2264639807, 628264.3908624528, 450943.7712381945, 471675.378092851, 474313.82415662287, 477341.3179369906, 487065.643910015, 491840.424423438, 505673.8770187592, 534903.5181498266, 558680.9883581931, 565018.66588545, 584149.8169453557, 615170.5510210096, 618955.2264639807, 628264.3908624528, 450943.7712381945, 471675.378092851, 474313.82415662287, 477341.3179369906, 487065.643910015, 491840.424423438, 505673.8770187592, 534903.5181498266, 558680.9883581931, 565018.66588545, 584149.8169453557, 615170.5510210096, 618955.2264639807, 628264.3908624528, 450943.7712381945, 471675.378092851, 474313.82415662287, 477341.3179369906, 487065.643910015, 491840.424423438, 505673.8770187592, 534903.5181498266, 558680.9883581931, 565018.66588545, 584149.8169453557, 615170.5510210096, 618955.2264639807, 628264.3908624528, 450943.7712381945, 471675.378092851, 474313.82415662287, 477341.3179369906, 487065.643910015, 491840.424423438, 505673.8770187592, 534903.5181498266, 558680.9883581931, 565018.66588545, 584149.8169453557, 615170.5510210096, 618955.2264639807, 628264.3908624528], 140)

Generate random weights

In [13]:
lmbdas = a
np.random.seed(0)
np_weights = []
low = -np.sqrt(2.0/(n_input)) # use 4 for sigmoid, 1 for tanh activation 
high = np.sqrt(2.0/(n_input))
for i in range(n_reps):
    np_weights.append(np.random.uniform(low=low,high=high,size=(n_input,n_middle)))

np_weights=[item for item in np_weights for i in range(n_lmbdas)]
print(len(np_weights), len(lmbdas))
(140, 140)
In [14]:
np.array_equal(np_weights[0], np_weights[13])
Out[14]:
True
In [15]:
np.array_equal(np_weights[0], np_weights[14])
Out[15]:
False

Commence training

In [16]:
START_TIME = time.time()
method3_test_accs = []
#INITIALIZE THE NETWORK
logging_count = 0
sess.run(init_op,options=run_options, run_metadata=run_metadata)
sess.graph.finalize()
for l in range(len(lmbdas)):
    print('Training with lmbda:{}, {}'.format(lmbdas[l], l))
    #sess.run(init_op,options=run_options, run_metadata=run_metadata)
    zeta = 1e-3
    new_big_omeg_w2 = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    new_big_omeg_b2 = np.zeros(shape=[1,n_middle], dtype=np.float32)
    w3_zeros = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    b3_zeros = np.zeros(shape=[1,n_out], dtype=np.float32)
    w3_accum = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    w3_accum = []
    b3_accum = np.zeros(shape=[1,n_out], dtype=np.float32)
    b3_accum = []
    reset_w2_grad_accum = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    reset_b2_grad_accum = np.zeros(shape=[1,n_middle], dtype=np.float32)

    start_w2 = None
    start_b2 = None
    sess.run(w_2_update_op, {w_2_update_placeholder:np_weights[l]})
    sess.run(b_2_update_op, {b_2_update_placeholder:np.zeros(shape=[1,n_middle],dtype=np.float32)})
    end_w2 = None
    end_b2 = None

    old_test_data = []
    historical_cross_test_acc = {}
    historical_train_accuracies = {}
    historical_train_costs = {}
    historical_val_accuracies = {}
    historical_val_costs = {}
    sets = [(0,1), (2,3), (4,5), (6,7), (8,9)]
    #sets = [(0,4),(5,9)]
    test_labels_set = []
    
    n_test_samples = []
    for a_set in range(len(sets)):
        current_set = sets[a_set]
        current_set_name = 'set'+str(a_set)
        mask_val = [0]*num_classes
        for i in range(0, current_set[1]+1):
            mask_val[i]=1
        set_mask_val = np.array(mask_val, dtype=np.float32)
        print('Current mask:{}'.format(set_mask_val))
        train_data_set, valid_data_set, test_data_set = extract_class_data(start=current_set[0],
                                                                      stop=current_set[1])
        train_images_set, train_labels_set = train_data_set[0], train_data_set[1]
        valid_images_set, valid_labels_set = valid_data_set[0], valid_data_set[1]
        test_images_set, test_labels_set = test_data_set[0], test_data_set[1]
        n_test_samples.append(len(test_labels_set))
        train_total = len(train_images_set)
        n_batches = len(train_images_set)/BATCH_SIZE
        #@@print('Number of batches:{}'.format(n_batches))


        #@@set_omegas = [tf.assign(big_omeg_w2, new_big_omeg_w2), tf.assign(big_omeg_b2, new_big_omeg_b2)]
        #@@sess.run(set_omegas)
        
        sess.run(big_omeg_w2_update_op, {big_omeg_w2_update_placeholder:new_big_omeg_w2})
        sess.run(big_omeg_b2_update_op, {big_omeg_b2_update_placeholder:new_big_omeg_b2})

        #@@reset_grad_accums = [tf.assign(w2_grad_accum, reset_w2_grad_accum),
        #@@                     tf.assign(b2_grad_accum, reset_b2_grad_accum)]
        #@@sess.run(reset_grad_accums)
        
        sess.run(w2_grad_accum_update_op, {w2_grad_accum_update_placeholder:reset_w2_grad_accum})
        sess.run(b2_grad_accum_update_op, {b2_grad_accum_update_placeholder:reset_b2_grad_accum})

        
        #@@reset_w3 = [tf.assign(w_3, w3_zeros), tf.assign(b_3, b3_zeros)]
        #@@sess.run(reset_w3)
        sess.run(w_3_update_op, {w_3_update_placeholder:w3_zeros})
        sess.run(b_3_update_op, {b_3_update_placeholder:b3_zeros})
    
        epochs = 10
        repeats = 1

        for repeat in range(repeats):
            #tf.set_random_seed(l)
            print('Repeat:{}'.format(repeat))
            train_accuracies = []
            train_costs = []
            val_accuracies = []
            val_costs = []
            best_val = 0
            first_params_set = None
            last_params_set = None
            T1 = time.time()
            for i in range(epochs):
                if(i==0):
                    start_w2, start_b2 = w_2.eval(), b_2.eval()
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: len(train_images_set)})
                #@@print('Epoch:{}'.format((i)))
                t1 = time.time()

                ### CALCULATE TRAIN COSTS AND TRAIN ACCURACIES
                train_cost, train_accuracy = sess.run([cost, acct_res] ,feed_dict = {drop_out : 0.0, 
                                                                                     set1_mask:set_mask_val})
                train_costs.append(train_cost)
                train_accuracies.append(train_accuracy)
                #train_writer.add_summary(summary,logging_count)

                print('training cost:{} and training accuracy:{}'.format(train_costs[i], train_accuracies[i]))

                ### CALCULATE VALID COSTS AND VALID ACCURACIES
                sess.run(iter.initializer, feed_dict={a_1: valid_images_set, y: valid_labels_set,
                                                      batch_size: len(valid_images_set)})
                _, _, val_acc, val_cost, _ = sess.run([predictions,acct_mat,acct_res, cost, a_3],
                                                      feed_dict = {drop_out : 0.0,set1_mask:set_mask_val})
                val_costs.append(val_cost)
                val_accuracies.append(val_acc)

                if(val_acc>best_val):
                    best_val = val_acc
                    best_params_set1 = [(w_2.eval(),b_2.eval()),(w_3.eval(),b_3.eval())]
                print('validation cost:{} and validation accuracy:{}'.format(val_cost, val_acc))   
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: BATCH_SIZE})


                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                  batch_size: BATCH_SIZE})
                print('Training on :{}'.format(current_set))
                for j in range(n_batches):

                    if(not (np.isnan(w_2.eval().any() and np.isnan(w_3.eval()).any()))):
                        #if(a_set==1):
                        #    print(j, w_2.eval().sum(), w_3.eval().sum())
                        if(((j)% 1000 ==0)):
                            logging_count+=1
                            summary,_,_ = sess.run([merged,step, omega_step], 
                                                 feed_dict = {drop_out:0.0,batch_size: BATCH_SIZE,tau:0.5,
                                                              set1_mask:set_mask_val,eta:0.001,
                                                              lmbda:lmbdas[l],n_tot:train_total})
                            #train_writer.add_summary(summary, (i+1)*j)
                            train_writer.add_summary(summary, logging_count)
                        else:
                            sess.run([step, omega_step],feed_dict = {drop_out:0.0,batch_size:BATCH_SIZE,
                                                                     tau:0.5,set1_mask:set_mask_val,
                                                                     eta:0.001,lmbda:lmbdas[l],
                                                                     n_tot:train_total})
                    else:
                        print('Nan encountered in epoch:{} and batch:{}'.format(i, j))
                #@@print('Epoch time:{}'.format(time.time()-t1))


            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,final_test_acc,_ = sess.run([predictions, acct_res, a_3], 
                                                                  feed_dict = {drop_out:0.0, 
                                                                               set1_mask:set_mask_val})
            #@@print('Final test accuracy is:{}'.format(final_test_acc))
            end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
            #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
            #@@sess.run(update_star_wbs)
            sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
            sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
            
            
            #all_final_test_accs_set1.append(final_test_acc)


            #@@best_step = [tf.assign(w_2,best_params_set1[0][0]), tf.assign(b_2,best_params_set1[0][1]),
            #@@             tf.assign(w_3,best_params_set1[1][0]),tf.assign(b_3,best_params_set1[1][1])]
            #@@sess.run(best_step)
            
            sess.run(w_2_update_op, {w_2_update_placeholder:best_params_set1[0][0]})
            sess.run(b_2_update_op, {b_2_update_placeholder:best_params_set1[0][1]})
            
            sess.run(w_3_update_op, {w_3_update_placeholder:best_params_set1[1][0]})
            sess.run(b_3_update_op, {b_3_update_placeholder:best_params_set1[1][1]})
            
            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,test_acc_corresp_best_val,_ = sess.run([predictions, acct_res, a_3],
                                                     feed_dict = {drop_out:0.0,set1_mask:set_mask_val})

            #@@print('Test accuracy corresp to best val acc:{}'.format(test_acc_corresp_best_val))
            print('Time taken:{}'.format(time.time()-T1))
            #w3_list.append(w_3.eval())
            w3_accum.append(w_3.eval())
            #b3_list.append(b_3.eval())
            b3_accum.append(b_3.eval())
            if(i==epochs-1):
                if(test_acc_corresp_best_val>final_test_acc):
                    end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
                    #all_final_test_accs_set1[-1] = test_acc_corresp_best_val
                    #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
                    #@@sess.run(update_star_wbs)
                    
                    sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
                    sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
                    

                #@@best_step = [tf.assign(w_2,end_w2), tf.assign(b_2,end_b2),
                #@@         tf.assign(w_3,end_w3),tf.assign(b_3,end_b3)]
                #@@sess.run(best_step)
                
                
                sess.run(w_2_update_op, {w_2_update_placeholder:end_w2})
                sess.run(b_2_update_op, {b_2_update_placeholder:end_b2})
                
                sess.run(w_3_update_op, {w_3_update_placeholder:end_w3})
                sess.run(b_3_update_op, {b_3_update_placeholder:end_b3})

                first_params_set = [(start_w2, start_b2)]
                last_params_set = [(end_w2, end_b2)]

                small_omegas = [(w2_grad_accum.eval(),b2_grad_accum.eval())]

                delta_ws = map(lambda x,y: np.square(x-y)+zeta,[item[0] for item in last_params_set],
                           [item[0] for item in first_params_set])

                delta_bs = map(lambda x,y: np.square(x-y)+zeta,[item[1] for item in last_params_set],
                           [item[1] for item in first_params_set])
                delta_wbs = zip(delta_ws, delta_bs)

                big_omegas_ws = map(lambda x,y: (x/y),[item[0] for item in small_omegas],
                           [item[0] for item in delta_wbs])            
                big_omegas_bs = map(lambda x,y: (x/y),[item[1] for item in small_omegas],
                           [item[1] for item in delta_wbs])

                big_omegas = zip(big_omegas_ws, big_omegas_bs)
                new_big_omeg_w2 += big_omegas[0][0]
                new_big_omeg_b2 += big_omegas[0][1]
                #@@print('omegW2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_w2.max(),
                #@@                                                new_big_omeg_w2.mean(),
                #@@                                                new_big_omeg_w2.std()))
                #@@print('omegb2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_b2.max(),
                #@@                                                new_big_omeg_b2.mean(),
                #@@                                                new_big_omeg_b2.std()))

        historical_train_accuracies[current_set_name]=train_accuracies
        historical_train_costs[current_set_name]=train_costs
        historical_val_accuracies[current_set_name]=val_accuracies
        historical_val_costs[current_set_name]=val_costs
    
    #######Method 3 ###########
    w3_set_rows = []
    offset=0
    for item in w3_accum:
        w3_set_rows.append(item[:,offset:offset+2])
        offset+=2


    w3_set_row_avgs = [item.mean() for item in w3_set_rows]
    final_w3 = map(lambda x,y:x-y,w3_set_rows, w3_set_row_avgs)
    final_w3 = np.concatenate(final_w3, axis=1)

    b3_set_rows = []
    offset=0
    for item in b3_accum:
        b3_set_rows.append(item[:,offset:offset+2])
        offset+=2
    b3_set_row_avgs = [item.mean() for item in b3_set_rows]
    final_b3 = map(lambda x,y:x-y,b3_set_rows, b3_set_row_avgs)
    final_b3 = np.concatenate(final_b3, axis=1)

    #@@set_w3 = [tf.assign(w_3, final_w3), tf.assign(b_3, final_b3)]
    #@@sess.run(set_w3)
    sess.run(w_3_update_op, {w_3_update_placeholder:final_w3})
    sess.run(b_3_update_op, {b_3_update_placeholder:final_b3})

    sess.run(iter.initializer, feed_dict={a_1: test_images, y: to_categorical(test_labels,num_classes=num_classes),
                                                      batch_size: len(test_images)})
    _,final_test_acc,_ = sess.run([predictions, acct_res, a_3],
                                  feed_dict = {drop_out:0.0,set1_mask:set_mask_val})
    method3_test_accs.append(final_test_acc)
    print('Method 3 test accuracy:{}'.format(final_test_acc))
    
    
train_writer.close()
print('Total time:{}'.format(time.time()-START_TIME))
Training with lmbda:450943.771238, 0
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.223329275846 and training accuracy:0.997657477856
validation cost:0.217609897256 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0588664598763 and training accuracy:0.99809128046
validation cost:0.0582027807832 and validation accuracy:0.998244047165
Training on :(0, 1)
training cost:0.0329026244581 and training accuracy:0.998264789581
validation cost:0.0331324525177 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.023102754727 and training accuracy:0.998611807823
validation cost:0.0236389841884 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0179823227227 and training accuracy:0.998785376549
validation cost:0.0186521094292 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0148221068084 and training accuracy:0.998872101307
validation cost:0.0155552858487 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0126652261242 and training accuracy:0.99895888567
validation cost:0.01342903357 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.0110910469666 and training accuracy:0.99895888567
validation cost:0.0118674216792 and validation accuracy:0.997366130352
Training on :(0, 1)
training cost:0.00988608878106 and training accuracy:0.999132394791
validation cost:0.0106639899313 and validation accuracy:0.998244047165
Training on :(0, 1)
Time taken:130.454847097
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:122.204075098
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:534903.51815, 7
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.815299987793
Training with lmbda:565018.665885, 9
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:117.820590019
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Training with lmbda:584149.816945, 10
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:615170.551021, 11
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:471675.378093, 15
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
Time taken:113.377501011
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:491840.424423, 19
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.800599992275
Training with lmbda:505673.877019, 20
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:584149.816945, 24
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:615170.551021, 25
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
Time taken:113.06322813
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.833500027657
Training with lmbda:471675.378093, 29
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:474313.824157, 30
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:505673.877019, 34
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:118.480669022
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Training with lmbda:534903.51815, 35
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.814599990845
Training with lmbda:474313.824157, 44
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:118.121771812
Method 3 test accuracy:0.814700007439
Training with lmbda:477341.317937, 45
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:534903.51815, 49
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:558680.988358, 50
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.831600010395
Training with lmbda:618955.226464, 54
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:118.225872993
Method 3 test accuracy:0.831600010395
Training with lmbda:628264.390862, 55
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:117.598942995
Method 3 test accuracy:0.811900019646
Training with lmbda:474313.824157, 58
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0548597127199 and training accuracy:0.986819386482
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Training on :(2, 3)
Time taken:120.594674826
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
training cost:0.0337089784443 and training accuracy:0.996682941914
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Training on :(4, 5)
Time taken:113.006862164
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
Time taken:121.87638402
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:118.356384039
Method 3 test accuracy:0.811800003052
Training with lmbda:477341.317937, 59
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
Time taken:112.525681019
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
Train features:(11087, 3630)
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
training cost:0.0246781297028 and training accuracy:0.998466670513
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Training on :(6, 7)
Time taken:121.533502102
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
training cost:0.0673993453383 and training accuracy:0.983237087727
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Training on :(8, 9)
Time taken:118.168468952
Method 3 test accuracy:0.811800003052
Training with lmbda:487065.64391, 60
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Length of test labels:2115
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validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0549606308341 and training accuracy:0.986819386482
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Training on :(2, 3)
Time taken:120.81347394
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
Time taken:117.731382132
Method 3 test accuracy:0.812200009823
Training with lmbda:491840.424423, 61
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
Length of test labels:2042
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Valid features:(1088, 3630)
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Repeat:0
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:121.069185972
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
Train features:(10250, 3630)
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Valid features:(1013, 3630)
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Repeat:0
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.812300026417
Training with lmbda:505673.877019, 62
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Valid features:(1139, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
training cost:0.0551060847938 and training accuracy:0.986819386482
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Training on :(2, 3)
Time taken:120.967771053
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
Length of test labels:1874
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.838999986649
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:534903.51815, 91
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Valid features:(1096, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:120.982771873
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.834299981594
Training with lmbda:618955.226464, 96
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:628264.390862, 97
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
Time taken:121.471087933
Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:615170.551021, 109
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:474313.824157, 114
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.83109998703
Training with lmbda:534903.51815, 119
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
Length of test labels:1986
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.834599971771
Training with lmbda:565018.665885, 121
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:618955.226464, 124
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.834599971771
Training with lmbda:450943.771238, 126
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Valid features:(1013, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:471675.378093, 127
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:505673.877019, 132
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
Test features:(1986, 3630)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Method 3 test accuracy:0.776400029659
Training with lmbda:584149.816945, 136
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training with lmbda:615170.551021, 137
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Current mask:[1. 1. 1. 1. 0. 0. 0. 0. 0. 0.]
Test features:(2042, 3630)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Current mask:[1. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
Test features:(1874, 3630)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Training on :(8, 9)
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Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(0, 1)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(2, 3)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Training on :(4, 5)
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Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 0. 0.]
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
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Training on :(6, 7)
training cost:0.0499102883041 and training accuracy:0.997745096684
validation cost:0.047549277544 and validation accuracy:0.997262775898
Training on :(6, 7)
training cost:0.0416376367211 and training accuracy:0.998105883598
validation cost:0.0395478792489 and validation accuracy:0.9981752038
Training on :(6, 7)
training cost:0.0360835529864 and training accuracy:0.998556852341
validation cost:0.0341636016965 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.0320620276034 and training accuracy:0.998556852341
validation cost:0.0302598532289 and validation accuracy:0.999087572098
Training on :(6, 7)
training cost:0.0289953015745 and training accuracy:0.9987372756
validation cost:0.0272812098265 and validation accuracy:1.0
Training on :(6, 7)
training cost:0.0265656970441 and training accuracy:0.998827457428
validation cost:0.0249212700874 and validation accuracy:1.0
Training on :(6, 7)
Time taken:126.945971966
Current mask:[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Test features:(1983, 3630)
Length of test labels:1983
Train features:(10738, 3630)
Length of train labels:10738
Valid features:(1062, 3630)
Length of valid labels:1062
Repeat:0
training cost:2.30258536339 and training accuracy:0.0
validation cost:2.30258536339 and validation accuracy:0.0
Training on :(8, 9)
training cost:0.257991343737 and training accuracy:0.956975221634
validation cost:0.260393381119 and validation accuracy:0.951977372169
Training on :(8, 9)
training cost:0.160755380988 and training accuracy:0.965729176998
validation cost:0.163924396038 and validation accuracy:0.961393594742
Training on :(8, 9)
training cost:0.126498952508 and training accuracy:0.970571815968
validation cost:0.129837155342 and validation accuracy:0.968926548958
Training on :(8, 9)
training cost:0.107957966626 and training accuracy:0.973738133907
validation cost:0.11121352762 and validation accuracy:0.975517868996
Training on :(8, 9)
training cost:0.0958523452282 and training accuracy:0.975693821907
validation cost:0.0989248901606 and validation accuracy:0.97834277153
Training on :(8, 9)
training cost:0.0871147885919 and training accuracy:0.977556347847
validation cost:0.0899727344513 and validation accuracy:0.97834277153
Training on :(8, 9)
training cost:0.0804052278399 and training accuracy:0.979325771332
validation cost:0.083045899868 and validation accuracy:0.980225980282
Training on :(8, 9)
training cost:0.0750273615122 and training accuracy:0.980722665787
validation cost:0.0774561986327 and validation accuracy:0.98116761446
Training on :(8, 9)
training cost:0.0705843567848 and training accuracy:0.982026457787
validation cost:0.0728142261505 and validation accuracy:0.98399245739
Training on :(8, 9)
Time taken:118.770991802
Method 3 test accuracy:0.775399982929
Total time:84619.5824039

Final accuracy

In [18]:
final_test_acc = pd.DataFrame({'Method3':method3_test_accs, 'lambdas':lmbdas})
final_test_acc.to_csv('spike_sh_14lmbdas_ar1_3lyrs_he1_45_65-non_spk.csv')
final_test_acc
Out[18]:
Method3 lambdas
0 0.8134 450943.771238
1 0.8139 471675.378093
2 0.8138 474313.824157
3 0.8211 477341.317937
4 0.8215 487065.643910
5 0.8215 491840.424423
6 0.8217 505673.877019
7 0.8148 534903.518150
8 0.8153 558680.988358
9 0.8152 565018.665885
10 0.8156 584149.816945
11 0.8155 615170.551021
12 0.8155 618955.226464
13 0.8156 628264.390862
14 0.8001 450943.771238
15 0.8000 471675.378093
16 0.8001 474313.824157
17 0.8002 477341.317937
18 0.8003 487065.643910
19 0.8006 491840.424423
20 0.8003 505673.877019
21 0.8009 534903.518150
22 0.8008 558680.988358
23 0.8007 565018.665885
24 0.8006 584149.816945
25 0.7985 615170.551021
26 0.7986 618955.226464
27 0.7985 628264.390862
28 0.8335 450943.771238
29 0.8337 471675.378093
... ... ...
110 0.8050 618955.226464
111 0.8048 628264.390862
112 0.8333 450943.771238
113 0.8307 471675.378093
114 0.8307 474313.824157
115 0.8307 477341.317937
116 0.8307 487065.643910
117 0.8307 491840.424423
118 0.8311 505673.877019
119 0.8345 534903.518150
120 0.8346 558680.988358
121 0.8347 565018.665885
122 0.8348 584149.816945
123 0.8346 615170.551021
124 0.8346 618955.226464
125 0.8346 628264.390862
126 0.7776 450943.771238
127 0.7769 471675.378093
128 0.7770 474313.824157
129 0.7768 477341.317937
130 0.7771 487065.643910
131 0.7753 491840.424423
132 0.7754 505673.877019
133 0.7764 534903.518150
134 0.7765 558680.988358
135 0.7764 565018.665885
136 0.7764 584149.816945
137 0.7761 615170.551021
138 0.7761 618955.226464
139 0.7754 628264.390862

140 rows × 2 columns

Groupby $\lambda$s

In [19]:
acc_grouped_by_lmbda = final_test_acc.groupby('lambdas')
final_acc_grouped_by_lmbda = acc_grouped_by_lmbda.mean()
final_acc_grouped_by_lmbda.rename(columns={'Method3':'MEAN'}, inplace=True)
final_acc_grouped_by_lmbda['S.D'] = acc_grouped_by_lmbda.std()
final_acc_grouped_by_lmbda['MIN'] = acc_grouped_by_lmbda.min()
final_acc_grouped_by_lmbda['MAX'] = acc_grouped_by_lmbda.max()
final_acc_grouped_by_lmbda['MED'] = acc_grouped_by_lmbda.median()
final_acc_grouped_by_lmbda.reset_index(inplace=True)
display(final_acc_grouped_by_lmbda)
lambdas MEAN S.D MIN MAX MED
0 450943.771238 0.81213 0.018777 0.7776 0.8387 0.80980
1 471675.378093 0.81269 0.018555 0.7769 0.8390 0.81290
2 474313.824157 0.81288 0.018448 0.7770 0.8390 0.81280
3 477341.317937 0.81355 0.018630 0.7768 0.8388 0.81320
4 487065.643910 0.81371 0.018603 0.7771 0.8390 0.81325
5 491840.424423 0.81358 0.018999 0.7753 0.8391 0.81335
6 505673.877019 0.81377 0.019057 0.7754 0.8388 0.81380
7 534903.518150 0.81384 0.019150 0.7764 0.8393 0.81410
8 558680.988358 0.81379 0.018741 0.7765 0.8362 0.81465
9 565018.665885 0.81382 0.018773 0.7764 0.8362 0.81480
10 584149.816945 0.81529 0.019207 0.7764 0.8362 0.81530
11 615170.551021 0.81528 0.019537 0.7761 0.8360 0.81525
12 618955.226464 0.81528 0.019550 0.7761 0.8360 0.81525
13 628264.390862 0.81491 0.019429 0.7754 0.8346 0.81525

Plots

In [20]:
mpl.rcParams['figure.figsize'] = 7,4.5
mpl.rcParams['axes.labelsize'] = 12
mpl.rcParams['lines.linewidth'] = 1.5
mpl.rcParams['lines.markersize'] = 8
mpl.rcParams['xtick.labelsize'] = 13
mpl.rcParams['ytick.labelsize'] = 12
mpl.rcParams['legend.fontsize'] = 12

final_acc_grouped_by_lmbda.plot(y=['MEAN','MED','MAX'],x='lambdas')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ylabel('Accuracy')
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Combine with previous $\lambda$s

In [21]:
prev_final_test_acc1 = pd.read_csv('spike_sh_14lmbdas_ar1_3lyrs_he1_75_10_non_spk_classify.csv', 
                                  index_col=0)
prev_acc_grouped_by_lmbda1 = prev_final_test_acc1.groupby('lambdas')
prev_final_acc_grouped_by_lmbda1 = prev_acc_grouped_by_lmbda1.mean()
prev_final_acc_grouped_by_lmbda1.rename(columns={'Method3':'MEAN'}, inplace=True)
prev_final_acc_grouped_by_lmbda1['S.D'] = prev_acc_grouped_by_lmbda1.std()
prev_final_acc_grouped_by_lmbda1['MIN'] = prev_acc_grouped_by_lmbda1.min()
prev_final_acc_grouped_by_lmbda1['MAX'] = prev_acc_grouped_by_lmbda1.max()
prev_final_acc_grouped_by_lmbda1['MED'] = prev_acc_grouped_by_lmbda1.median()
prev_final_acc_grouped_by_lmbda1.reset_index(inplace=True)
display(prev_final_acc_grouped_by_lmbda1)
lambdas MEAN S.D MIN MAX MED
0 0.000000 0.71909 0.013358 0.6867 0.7346 0.72165
1 75117.971405 0.78152 0.020727 0.7575 0.8158 0.77810
2 77709.422262 0.78250 0.020241 0.7608 0.8171 0.77825
3 78039.228020 0.78257 0.020269 0.7609 0.8173 0.77825
4 78417.664742 0.78260 0.020226 0.7611 0.8173 0.77825
5 79633.205489 0.78272 0.020203 0.7613 0.8177 0.77845
6 80230.053053 0.78300 0.020283 0.7614 0.8182 0.77885
7 81959.234627 0.78297 0.022364 0.7521 0.8185 0.77900
8 85612.939769 0.78450 0.021875 0.7530 0.8193 0.78235
9 88585.123545 0.78518 0.022124 0.7533 0.8197 0.78265
10 89377.333236 0.78485 0.021290 0.7540 0.8197 0.78310
11 91768.727118 0.78598 0.022291 0.7543 0.8201 0.78355
12 95646.318878 0.78604 0.020861 0.7586 0.8227 0.78410
13 96119.403308 0.78622 0.020912 0.7587 0.8229 0.78425
14 97283.048858 0.78645 0.020718 0.7590 0.8230 0.78440
In [22]:
prev_final_test_acc2 = pd.read_csv('spike_sh_14lmbdas_ar1_3lyrs_he1_10_20_non_spk_classify.csv', 
                                  index_col=0)
prev_acc_grouped_by_lmbda2 = prev_final_test_acc2.groupby('lambdas')
prev_final_acc_grouped_by_lmbda2 = prev_acc_grouped_by_lmbda2.mean()
prev_final_acc_grouped_by_lmbda2.rename(columns={'Method3':'MEAN'}, inplace=True)
prev_final_acc_grouped_by_lmbda2['S.D'] = prev_acc_grouped_by_lmbda2.std()
prev_final_acc_grouped_by_lmbda2['MIN'] = prev_acc_grouped_by_lmbda2.min()
prev_final_acc_grouped_by_lmbda2['MAX'] = prev_acc_grouped_by_lmbda2.max()
prev_final_acc_grouped_by_lmbda2['MED'] = prev_acc_grouped_by_lmbda2.median()
prev_final_acc_grouped_by_lmbda2.reset_index(inplace=True)
display(prev_final_acc_grouped_by_lmbda2)
lambdas MEAN S.D MIN MAX MED
0 0.000000 0.71909 0.013358 0.6867 0.7346 0.72165
1 100471.885619 0.78694 0.020593 0.7600 0.8228 0.78455
2 110837.689046 0.78835 0.020678 0.7626 0.8240 0.78550
3 112156.912078 0.78858 0.020706 0.7631 0.8243 0.78575
4 113670.658968 0.78866 0.020647 0.7635 0.8243 0.78585
5 118532.821955 0.78888 0.021238 0.7638 0.8248 0.78630
6 120920.212212 0.78930 0.021262 0.7643 0.8249 0.78690
7 127836.938509 0.79036 0.021217 0.7647 0.8257 0.78750
8 142451.759075 0.79277 0.020593 0.7671 0.8270 0.78950
9 154340.494179 0.79669 0.018245 0.7692 0.8276 0.79450
10 157509.332943 0.79754 0.018844 0.7695 0.8276 0.79505
11 167074.908473 0.79855 0.018636 0.7704 0.8280 0.79605
12 182585.275511 0.79986 0.018529 0.7715 0.8288 0.79720
13 184477.613232 0.80001 0.018600 0.7717 0.8291 0.79740
14 189132.195431 0.80045 0.018781 0.7718 0.8296 0.79775
In [25]:
prev_final_test_acc3 = pd.read_csv('spike_sh_14lmbdas_ar1_3lyrs_he1_20_45_non_spk_classify.csv', 
                                  index_col=0)
prev_acc_grouped_by_lmbda3 = prev_final_test_acc3.groupby('lambdas')
prev_final_acc_grouped_by_lmbda3 = prev_acc_grouped_by_lmbda3.mean()
prev_final_acc_grouped_by_lmbda3.rename(columns={'Method3':'MEAN'}, inplace=True)
prev_final_acc_grouped_by_lmbda3['S.D'] = prev_acc_grouped_by_lmbda3.std()
prev_final_acc_grouped_by_lmbda3['MIN'] = prev_acc_grouped_by_lmbda3.min()
prev_final_acc_grouped_by_lmbda3['MAX'] = prev_acc_grouped_by_lmbda3.max()
prev_final_acc_grouped_by_lmbda3['MED'] = prev_acc_grouped_by_lmbda3.median()
prev_final_acc_grouped_by_lmbda3.reset_index(inplace=True)
display(prev_final_acc_grouped_by_lmbda3)
lambdas MEAN S.D MIN MAX MED
0 201179.714048 0.80312 0.018350 0.7731 0.8303 0.79940
1 227094.222616 0.80550 0.018698 0.7757 0.8311 0.80060
2 230392.280196 0.80567 0.018672 0.7758 0.8311 0.80065
3 234176.647421 0.80583 0.018595 0.7759 0.8311 0.80085
4 246332.054888 0.80623 0.018735 0.7767 0.8315 0.80135
5 252300.530529 0.80687 0.019128 0.7769 0.8345 0.80195
6 269592.346273 0.80868 0.018645 0.7769 0.8352 0.80590
7 306129.397687 0.81075 0.019335 0.7781 0.8365 0.81640
8 335851.235448 0.81119 0.019834 0.7778 0.8352 0.81790
9 343773.332357 0.81128 0.019692 0.7781 0.8350 0.81765
10 367687.271182 0.81151 0.019817 0.7779 0.8360 0.81590
11 406463.188776 0.81217 0.019033 0.7779 0.8378 0.80835
12 411194.033080 0.81229 0.018940 0.7783 0.8378 0.80845
13 422830.488578 0.81246 0.019064 0.7779 0.8383 0.80875
In [36]:
df4 = final_acc_grouped_by_lmbda.copy(deep=True)
df4.drop([0], inplace=True)

df3 = prev_final_acc_grouped_by_lmbda3.copy(deep=True)
df3.drop([0], inplace=True)

df2 = prev_final_acc_grouped_by_lmbda2.copy(deep=True)
df2.drop([0], inplace=True)

df1 = prev_final_acc_grouped_by_lmbda1.copy(deep=True)
df1.drop([0], inplace=True)

final_df = pd.concat([df1, df2, df3, df4], axis=0)
final_df.reset_index(inplace=True, drop=True)
display(final_df)
lambdas MEAN S.D MIN MAX MED
0 75117.971405 0.78152 0.020727 0.7575 0.8158 0.77810
1 77709.422262 0.78250 0.020241 0.7608 0.8171 0.77825
2 78039.228020 0.78257 0.020269 0.7609 0.8173 0.77825
3 78417.664742 0.78260 0.020226 0.7611 0.8173 0.77825
4 79633.205489 0.78272 0.020203 0.7613 0.8177 0.77845
5 80230.053053 0.78300 0.020283 0.7614 0.8182 0.77885
6 81959.234627 0.78297 0.022364 0.7521 0.8185 0.77900
7 85612.939769 0.78450 0.021875 0.7530 0.8193 0.78235
8 88585.123545 0.78518 0.022124 0.7533 0.8197 0.78265
9 89377.333236 0.78485 0.021290 0.7540 0.8197 0.78310
10 91768.727118 0.78598 0.022291 0.7543 0.8201 0.78355
11 95646.318878 0.78604 0.020861 0.7586 0.8227 0.78410
12 96119.403308 0.78622 0.020912 0.7587 0.8229 0.78425
13 97283.048858 0.78645 0.020718 0.7590 0.8230 0.78440
14 100471.885619 0.78694 0.020593 0.7600 0.8228 0.78455
15 110837.689046 0.78835 0.020678 0.7626 0.8240 0.78550
16 112156.912078 0.78858 0.020706 0.7631 0.8243 0.78575
17 113670.658968 0.78866 0.020647 0.7635 0.8243 0.78585
18 118532.821955 0.78888 0.021238 0.7638 0.8248 0.78630
19 120920.212212 0.78930 0.021262 0.7643 0.8249 0.78690
20 127836.938509 0.79036 0.021217 0.7647 0.8257 0.78750
21 142451.759075 0.79277 0.020593 0.7671 0.8270 0.78950
22 154340.494179 0.79669 0.018245 0.7692 0.8276 0.79450
23 157509.332943 0.79754 0.018844 0.7695 0.8276 0.79505
24 167074.908473 0.79855 0.018636 0.7704 0.8280 0.79605
25 182585.275511 0.79986 0.018529 0.7715 0.8288 0.79720
26 184477.613232 0.80001 0.018600 0.7717 0.8291 0.79740
27 189132.195431 0.80045 0.018781 0.7718 0.8296 0.79775
28 227094.222616 0.80550 0.018698 0.7757 0.8311 0.80060
29 230392.280196 0.80567 0.018672 0.7758 0.8311 0.80065
30 234176.647421 0.80583 0.018595 0.7759 0.8311 0.80085
31 246332.054888 0.80623 0.018735 0.7767 0.8315 0.80135
32 252300.530529 0.80687 0.019128 0.7769 0.8345 0.80195
33 269592.346273 0.80868 0.018645 0.7769 0.8352 0.80590
34 306129.397687 0.81075 0.019335 0.7781 0.8365 0.81640
35 335851.235448 0.81119 0.019834 0.7778 0.8352 0.81790
36 343773.332357 0.81128 0.019692 0.7781 0.8350 0.81765
37 367687.271182 0.81151 0.019817 0.7779 0.8360 0.81590
38 406463.188776 0.81217 0.019033 0.7779 0.8378 0.80835
39 411194.033080 0.81229 0.018940 0.7783 0.8378 0.80845
40 422830.488578 0.81246 0.019064 0.7779 0.8383 0.80875
41 471675.378093 0.81269 0.018555 0.7769 0.8390 0.81290
42 474313.824157 0.81288 0.018448 0.7770 0.8390 0.81280
43 477341.317937 0.81355 0.018630 0.7768 0.8388 0.81320
44 487065.643910 0.81371 0.018603 0.7771 0.8390 0.81325
45 491840.424423 0.81358 0.018999 0.7753 0.8391 0.81335
46 505673.877019 0.81377 0.019057 0.7754 0.8388 0.81380
47 534903.518150 0.81384 0.019150 0.7764 0.8393 0.81410
48 558680.988358 0.81379 0.018741 0.7765 0.8362 0.81465
49 565018.665885 0.81382 0.018773 0.7764 0.8362 0.81480
50 584149.816945 0.81529 0.019207 0.7764 0.8362 0.81530
51 615170.551021 0.81528 0.019537 0.7761 0.8360 0.81525
52 618955.226464 0.81528 0.019550 0.7761 0.8360 0.81525
53 628264.390862 0.81491 0.019429 0.7754 0.8346 0.81525

Combined plots

In [63]:
mpl.rcParams['figure.figsize'] = 4.5,2.75
mpl.rcParams['axes.labelsize'] = 12
mpl.rcParams['lines.linewidth'] = 1.0
mpl.rcParams['lines.markersize'] = 8
mpl.rcParams['xtick.labelsize'] = 12
mpl.rcParams['ytick.labelsize'] = 12
mpl.rcParams['legend.fontsize'] = 10
mpl.rcParams['font.size'] = 10

final_df.plot(y=['MEAN','MED','MAX', 'MIN'],x='lambdas')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ylabel('Accuracy')
plt.xlabel('$\lambda$')
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()
In [64]:
mpl.rcParams['figure.figsize'] = 4.5,2.75
mpl.rcParams['axes.labelsize'] = 12
mpl.rcParams['lines.linewidth'] = 1.0
mpl.rcParams['lines.markersize'] = 8
mpl.rcParams['xtick.labelsize'] = 12
mpl.rcParams['ytick.labelsize'] = 12
mpl.rcParams['legend.fontsize'] = 10
mpl.rcParams['font.size'] = 10

final_df.plot(y=['S.D'],x='lambdas')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ylabel('$\sigma$')
plt.xlabel('$\lambda$')
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Some histograms

W_2

In [65]:
plt.hist(w_2.eval().flatten(), 100, log=True)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()
In [66]:
plt.hist(w_2.eval().flatten(), 100)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Omega_W_2

In [67]:
plt.hist(new_big_omeg_w2.flatten(),bins=100,log=True)
#plt.yscale('log')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()
In [68]:
plt.hist(new_big_omeg_w2.flatten(),bins=100,log=False)
#plt.yscale('log')
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

b_2

In [69]:
plt.hist(b_2.eval().flatten(), 100, log=True)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()
In [70]:
plt.hist(b_2.eval().flatten(), 100, log=False)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Omega_b_2

In [71]:
plt.hist(new_big_omeg_b2.flatten(),100,log=True)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()
In [72]:
plt.hist(new_big_omeg_b2.flatten(),100,log=False)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

W_3

In [73]:
plt.hist(w_3.eval().flatten(), 100, log=True)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()
In [74]:
plt.hist(w_3.eval().flatten(), 100, log=False)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

b_3

In [75]:
plt.hist(b_3.eval().flatten(), 10, log=True)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()
In [76]:
plt.hist(b_3.eval().flatten(), 10, log=False)
plt.grid(b=True, which='both', color='w', linestyle='-', alpha=1.0)
plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
plt.show()

Init the writer with $\lambda$s (40.0, 65.0) non-spk classification (binary spike features)

In [10]:
path = '/home/ruthvik/Desktop/Summer 2017/tf_graph_outputs/mnist/continual_learning/original_mnist_5sets'
merged = tf.summary.merge_all()
train_writer = tf.summary.FileWriter(path + '/spike_sh_14lmbdas_ar1_3lyrs_he1_40_65_non_spk_classify_binary_feat', sess.graph)

Generate $\lambda$s

In [11]:
np.random.seed(100)
n_lmbdas = 15
a = np.random.uniform(low=40.0, high=65.0, size=(n_lmbdas,))
print(a)
print()
a = a*1.0e4
a = a[np.argsort(a)]
print(a)
print()
n_reps = 6
a = ([0]+a.tolist())*n_reps
n_lmbdas+=1
print(a, len(a))
[53.58512354 46.95923463 50.61293977 61.11940331 40.1179714  43.03922802
 56.76872712 60.64631888 43.41766474 54.37733324 62.28304886 45.23005305
 44.63320549 42.70942226 45.49243732]
()
[401179.71404774 427094.22261606 430392.28019578 434176.64742124
 446332.05488752 452300.5305293  454924.37315625 469592.34627345
 506129.39768728 535851.23544774 543773.33235681 567687.27118169
 606463.18877626 611194.03307998 622830.48857807]
()
([0, 401179.7140477432, 427094.2226160638, 430392.2801957785, 434176.64742123825, 446332.05488751875, 452300.5305292974, 454924.37315624807, 469592.3462734491, 506129.3976872832, 535851.2354477413, 543773.3323568124, 567687.2711816947, 606463.1887762619, 611194.0330799759, 622830.488578066, 0, 401179.7140477432, 427094.2226160638, 430392.2801957785, 434176.64742123825, 446332.05488751875, 452300.5305292974, 454924.37315624807, 469592.3462734491, 506129.3976872832, 535851.2354477413, 543773.3323568124, 567687.2711816947, 606463.1887762619, 611194.0330799759, 622830.488578066, 0, 401179.7140477432, 427094.2226160638, 430392.2801957785, 434176.64742123825, 446332.05488751875, 452300.5305292974, 454924.37315624807, 469592.3462734491, 506129.3976872832, 535851.2354477413, 543773.3323568124, 567687.2711816947, 606463.1887762619, 611194.0330799759, 622830.488578066, 0, 401179.7140477432, 427094.2226160638, 430392.2801957785, 434176.64742123825, 446332.05488751875, 452300.5305292974, 454924.37315624807, 469592.3462734491, 506129.3976872832, 535851.2354477413, 543773.3323568124, 567687.2711816947, 606463.1887762619, 611194.0330799759, 622830.488578066, 0, 401179.7140477432, 427094.2226160638, 430392.2801957785, 434176.64742123825, 446332.05488751875, 452300.5305292974, 454924.37315624807, 469592.3462734491, 506129.3976872832, 535851.2354477413, 543773.3323568124, 567687.2711816947, 606463.1887762619, 611194.0330799759, 622830.488578066, 0, 401179.7140477432, 427094.2226160638, 430392.2801957785, 434176.64742123825, 446332.05488751875, 452300.5305292974, 454924.37315624807, 469592.3462734491, 506129.3976872832, 535851.2354477413, 543773.3323568124, 567687.2711816947, 606463.1887762619, 611194.0330799759, 622830.488578066], 96)

Generate random weights

In [12]:
lmbdas = a
np.random.seed(0)
np_weights = []
low = -np.sqrt(2.0/(n_input)) # use 4 for sigmoid, 1 for tanh activation 
high = np.sqrt(2.0/(n_input))
for i in range(n_reps):
    np_weights.append(np.random.uniform(low=low,high=high,size=(n_input,n_middle)))

np_weights=[item for item in np_weights for i in range(n_lmbdas)]
print(len(np_weights), len(lmbdas))
(96, 96)
In [15]:
np.array_equal(np_weights[0], np_weights[15])
Out[15]:
True
In [16]:
np.array_equal(np_weights[0], np_weights[16])
Out[16]:
False

Commence training

In [ ]:
START_TIME = time.time()
method3_test_accs = []
#INITIALIZE THE NETWORK
logging_count = 0
sess.run(init_op,options=run_options, run_metadata=run_metadata)
sess.graph.finalize()
for l in range(len(lmbdas)):
    print('Training with lmbda:{}, {}'.format(lmbdas[l], l))
    #sess.run(init_op,options=run_options, run_metadata=run_metadata)
    zeta = 1e-3
    new_big_omeg_w2 = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    new_big_omeg_b2 = np.zeros(shape=[1,n_middle], dtype=np.float32)
    w3_zeros = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    b3_zeros = np.zeros(shape=[1,n_out], dtype=np.float32)
    w3_accum = np.zeros(shape=[n_middle,n_out], dtype=np.float32)
    w3_accum = []
    b3_accum = np.zeros(shape=[1,n_out], dtype=np.float32)
    b3_accum = []
    reset_w2_grad_accum = np.zeros(shape=[n_input,n_middle], dtype=np.float32)
    reset_b2_grad_accum = np.zeros(shape=[1,n_middle], dtype=np.float32)

    start_w2 = None
    start_b2 = None
    sess.run(w_2_update_op, {w_2_update_placeholder:np_weights[l]})
    sess.run(b_2_update_op, {b_2_update_placeholder:np.zeros(shape=[1,n_middle],dtype=np.float32)})
    end_w2 = None
    end_b2 = None

    old_test_data = []
    historical_cross_test_acc = {}
    historical_train_accuracies = {}
    historical_train_costs = {}
    historical_val_accuracies = {}
    historical_val_costs = {}
    sets = [(0,1), (2,3), (4,5), (6,7), (8,9)]
    #sets = [(0,4),(5,9)]
    test_labels_set = []
    
    n_test_samples = []
    for a_set in range(len(sets)):
        current_set = sets[a_set]
        current_set_name = 'set'+str(a_set)
        mask_val = [0]*num_classes
        for i in range(0, current_set[1]+1):
            mask_val[i]=1
        set_mask_val = np.array(mask_val, dtype=np.float32)
        print('Current mask:{}'.format(set_mask_val))
        train_data_set, valid_data_set, test_data_set = extract_class_data(start=current_set[0],
                                                                      stop=current_set[1])
        train_images_set, train_labels_set = train_data_set[0], train_data_set[1]
        valid_images_set, valid_labels_set = valid_data_set[0], valid_data_set[1]
        test_images_set, test_labels_set = test_data_set[0], test_data_set[1]
        n_test_samples.append(len(test_labels_set))
        train_total = len(train_images_set)
        n_batches = len(train_images_set)/BATCH_SIZE
        #@@print('Number of batches:{}'.format(n_batches))


        #@@set_omegas = [tf.assign(big_omeg_w2, new_big_omeg_w2), tf.assign(big_omeg_b2, new_big_omeg_b2)]
        #@@sess.run(set_omegas)
        
        sess.run(big_omeg_w2_update_op, {big_omeg_w2_update_placeholder:new_big_omeg_w2})
        sess.run(big_omeg_b2_update_op, {big_omeg_b2_update_placeholder:new_big_omeg_b2})

        #@@reset_grad_accums = [tf.assign(w2_grad_accum, reset_w2_grad_accum),
        #@@                     tf.assign(b2_grad_accum, reset_b2_grad_accum)]
        #@@sess.run(reset_grad_accums)
        
        sess.run(w2_grad_accum_update_op, {w2_grad_accum_update_placeholder:reset_w2_grad_accum})
        sess.run(b2_grad_accum_update_op, {b2_grad_accum_update_placeholder:reset_b2_grad_accum})

        
        #@@reset_w3 = [tf.assign(w_3, w3_zeros), tf.assign(b_3, b3_zeros)]
        #@@sess.run(reset_w3)
        sess.run(w_3_update_op, {w_3_update_placeholder:w3_zeros})
        sess.run(b_3_update_op, {b_3_update_placeholder:b3_zeros})
    
        epochs = 10
        repeats = 1

        for repeat in range(repeats):
            #tf.set_random_seed(l)
            print('Repeat:{}'.format(repeat))
            train_accuracies = []
            train_costs = []
            val_accuracies = []
            val_costs = []
            best_val = 0
            first_params_set = None
            last_params_set = None
            T1 = time.time()
            for i in range(epochs):
                if(i==0):
                    start_w2, start_b2 = w_2.eval(), b_2.eval()
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: len(train_images_set)})
                #@@print('Epoch:{}'.format((i)))
                t1 = time.time()

                ### CALCULATE TRAIN COSTS AND TRAIN ACCURACIES
                train_cost, train_accuracy = sess.run([cost, acct_res] ,feed_dict = {drop_out : 0.0, 
                                                                                     set1_mask:set_mask_val})
                train_costs.append(train_cost)
                train_accuracies.append(train_accuracy)
                #train_writer.add_summary(summary,logging_count)

                print('training cost:{} and training accuracy:{}'.format(train_costs[i], train_accuracies[i]))

                ### CALCULATE VALID COSTS AND VALID ACCURACIES
                sess.run(iter.initializer, feed_dict={a_1: valid_images_set, y: valid_labels_set,
                                                      batch_size: len(valid_images_set)})
                _, _, val_acc, val_cost, _ = sess.run([predictions,acct_mat,acct_res, cost, a_3],
                                                      feed_dict = {drop_out : 0.0,set1_mask:set_mask_val})
                val_costs.append(val_cost)
                val_accuracies.append(val_acc)

                if(val_acc>best_val):
                    best_val = val_acc
                    best_params_set1 = [(w_2.eval(),b_2.eval()),(w_3.eval(),b_3.eval())]
                print('validation cost:{} and validation accuracy:{}'.format(val_cost, val_acc))   
                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                      batch_size: BATCH_SIZE})


                sess.run(iter.initializer, feed_dict={a_1: train_images_set, y: train_labels_set,
                                                  batch_size: BATCH_SIZE})
                print('Training on :{}'.format(current_set))
                for j in range(n_batches):

                    if(not (np.isnan(w_2.eval().any() and np.isnan(w_3.eval()).any()))):
                        #if(a_set==1):
                        #    print(j, w_2.eval().sum(), w_3.eval().sum())
                        if(((j)% 1000 ==0)):
                            logging_count+=1
                            summary,_,_ = sess.run([merged,step, omega_step], 
                                                 feed_dict = {drop_out:0.0,batch_size: BATCH_SIZE,tau:0.5,
                                                              set1_mask:set_mask_val,eta:0.001,
                                                              lmbda:lmbdas[l],n_tot:train_total})
                            #train_writer.add_summary(summary, (i+1)*j)
                            train_writer.add_summary(summary, logging_count)
                        else:
                            sess.run([step, omega_step],feed_dict = {drop_out:0.0,batch_size:BATCH_SIZE,
                                                                     tau:0.5,set1_mask:set_mask_val,
                                                                     eta:0.001,lmbda:lmbdas[l],
                                                                     n_tot:train_total})
                    else:
                        print('Nan encountered in epoch:{} and batch:{}'.format(i, j))
                #@@print('Epoch time:{}'.format(time.time()-t1))


            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,final_test_acc,_ = sess.run([predictions, acct_res, a_3], 
                                                                  feed_dict = {drop_out:0.0, 
                                                                               set1_mask:set_mask_val})
            #@@print('Final test accuracy is:{}'.format(final_test_acc))
            end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
            #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
            #@@sess.run(update_star_wbs)
            sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
            sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
            
            
            #all_final_test_accs_set1.append(final_test_acc)


            #@@best_step = [tf.assign(w_2,best_params_set1[0][0]), tf.assign(b_2,best_params_set1[0][1]),
            #@@             tf.assign(w_3,best_params_set1[1][0]),tf.assign(b_3,best_params_set1[1][1])]
            #@@sess.run(best_step)
            
            sess.run(w_2_update_op, {w_2_update_placeholder:best_params_set1[0][0]})
            sess.run(b_2_update_op, {b_2_update_placeholder:best_params_set1[0][1]})
            
            sess.run(w_3_update_op, {w_3_update_placeholder:best_params_set1[1][0]})
            sess.run(b_3_update_op, {b_3_update_placeholder:best_params_set1[1][1]})
            
            sess.run(iter.initializer, feed_dict={a_1: test_images_set, y: test_labels_set,
                                                      batch_size: len(test_images_set)})
            _,test_acc_corresp_best_val,_ = sess.run([predictions, acct_res, a_3],
                                                     feed_dict = {drop_out:0.0,set1_mask:set_mask_val})

            #@@print('Test accuracy corresp to best val acc:{}'.format(test_acc_corresp_best_val))
            print('Time taken:{}'.format(time.time()-T1))
            #w3_list.append(w_3.eval())
            w3_accum.append(w_3.eval())
            #b3_list.append(b_3.eval())
            b3_accum.append(b_3.eval())
            if(i==epochs-1):
                if(test_acc_corresp_best_val>final_test_acc):
                    end_w2, end_b2, end_w3, end_b3 = w_2.eval(), b_2.eval(), w_3.eval(), b_3.eval()
                    #all_final_test_accs_set1[-1] = test_acc_corresp_best_val
                    #@@update_star_wbs = [tf.assign(star_w2,end_w2),tf.assign(star_b2,end_b2)]
                    #@@sess.run(update_star_wbs)
                    
                    sess.run(star_w2_update_op, {star_w2_update_placeholder:end_w2})
                    sess.run(star_b2_update_op, {star_b2_update_placeholder:end_b2})
                    

                #@@best_step = [tf.assign(w_2,end_w2), tf.assign(b_2,end_b2),
                #@@         tf.assign(w_3,end_w3),tf.assign(b_3,end_b3)]
                #@@sess.run(best_step)
                
                
                sess.run(w_2_update_op, {w_2_update_placeholder:end_w2})
                sess.run(b_2_update_op, {b_2_update_placeholder:end_b2})
                
                sess.run(w_3_update_op, {w_3_update_placeholder:end_w3})
                sess.run(b_3_update_op, {b_3_update_placeholder:end_b3})

                first_params_set = [(start_w2, start_b2)]
                last_params_set = [(end_w2, end_b2)]

                small_omegas = [(w2_grad_accum.eval(),b2_grad_accum.eval())]

                delta_ws = map(lambda x,y: np.square(x-y)+zeta,[item[0] for item in last_params_set],
                           [item[0] for item in first_params_set])

                delta_bs = map(lambda x,y: np.square(x-y)+zeta,[item[1] for item in last_params_set],
                           [item[1] for item in first_params_set])
                delta_wbs = zip(delta_ws, delta_bs)

                big_omegas_ws = map(lambda x,y: (x/y),[item[0] for item in small_omegas],
                           [item[0] for item in delta_wbs])            
                big_omegas_bs = map(lambda x,y: (x/y),[item[1] for item in small_omegas],
                           [item[1] for item in delta_wbs])

                big_omegas = zip(big_omegas_ws, big_omegas_bs)
                new_big_omeg_w2 += big_omegas[0][0]
                new_big_omeg_b2 += big_omegas[0][1]
                #@@print('omegW2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_w2.max(),
                #@@                                                new_big_omeg_w2.mean(),
                #@@                                                new_big_omeg_w2.std()))
                #@@print('omegb2-MAXIMUM:{},MEAN:{},STD:{}'.format(new_big_omeg_b2.max(),
                #@@                                                new_big_omeg_b2.mean(),
                #@@                                                new_big_omeg_b2.std()))

        historical_train_accuracies[current_set_name]=train_accuracies
        historical_train_costs[current_set_name]=train_costs
        historical_val_accuracies[current_set_name]=val_accuracies
        historical_val_costs[current_set_name]=val_costs
    
    #######Method 3 ###########
    w3_set_rows = []
    offset=0
    for item in w3_accum:
        w3_set_rows.append(item[:,offset:offset+2])
        offset+=2


    w3_set_row_avgs = [item.mean() for item in w3_set_rows]
    final_w3 = map(lambda x,y:x-y,w3_set_rows, w3_set_row_avgs)
    final_w3 = np.concatenate(final_w3, axis=1)

    b3_set_rows = []
    offset=0
    for item in b3_accum:
        b3_set_rows.append(item[:,offset:offset+2])
        offset+=2
    b3_set_row_avgs = [item.mean() for item in b3_set_rows]
    final_b3 = map(lambda x,y:x-y,b3_set_rows, b3_set_row_avgs)
    final_b3 = np.concatenate(final_b3, axis=1)

    #@@set_w3 = [tf.assign(w_3, final_w3), tf.assign(b_3, final_b3)]
    #@@sess.run(set_w3)
    sess.run(w_3_update_op, {w_3_update_placeholder:final_w3})
    sess.run(b_3_update_op, {b_3_update_placeholder:final_b3})

    sess.run(iter.initializer, feed_dict={a_1: test_images, y: to_categorical(test_labels,num_classes=num_classes),
                                                      batch_size: len(test_images)})
    _,final_test_acc,_ = sess.run([predictions, acct_res, a_3],
                                  feed_dict = {drop_out:0.0,set1_mask:set_mask_val})
    method3_test_accs.append(final_test_acc)
    print('Method 3 test accuracy:{}'.format(final_test_acc))
    
    
train_writer.close()
print('Total time:{}'.format(time.time()-START_TIME))
Training with lmbda:0, 0
Current mask:[1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]
Test features:(2115, 3630)
Length of test labels:2115
Train features:(11526, 3630)
Length of train labels:11526
Valid features:(1139, 3630)
Length of valid labels:1139
Repeat:0
training cost:2.30258536339 and training accuracy:0.467811912298
validation cost:2.30258536339 and validation accuracy:0.473222136497
Training on :(0, 1)
training cost:0.440640777349 and training accuracy:0.977095246315
validation cost:0.432918131351 and validation accuracy:0.969271302223
Training on :(0, 1)
In [ ]: